diff --git "a/perf-df-bnb-1xA10.csv" "b/perf-df-bnb-1xA10.csv" --- "a/perf-df-bnb-1xA10.csv" +++ "b/perf-df-bnb-1xA10.csv" @@ -201,7 +201,7 @@ OSError: / does not appear to have a file named config.json. 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+4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -300,7 +300,7 @@ TypeError: DeciCoderAttention.forward() got an unexpected 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-4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -329,7 +329,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258e4-1c46ff2d05d7ef9034baeb64;a26f11c7-9fa4-4454-9759-10f4d05fdd1f) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa78-2aff9abd14fb519e6734d31c;ffbc68da-e225-4192-b493-2dbb0cfa5291) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/recurrentgemma-2b/resolve/main/config.json. @@ -449,7 +449,7 @@ OSError: x is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -478,7 +478,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258ba-7ee60ef572e6e2ca09c11792;d88d2329-ee88-42cf-8b48-9e31b741962d) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa4f-516de30e0cba8c4553e5a046;820c8fe6-0ec9-4325-8494-8cdf661fbd20) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-7b/resolve/main/config.json. @@ -596,7 +596,7 @@ torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. 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last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -689,7 +689,7 @@ torch.cuda.OutOfMemoryError: CUDA out of memory. 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-4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -718,7 +718,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625648-5b3bdf5a33d701d873ff5351;46b9c08f-db2f-4ea8-ad3b-9f36c89da904) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663a7e6-292cab6f0935b21b0e1c03a3;5ca5cd21-21a0-42cc-9b1a-8fc00f4e9a2f) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/databricks/dbrx-base/resolve/main/config.json. @@ -1384,7 +1384,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stabilityai/stablelm-3b-4e1t,,cuda,0,42,,,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -1413,7 +1413,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625890-7f3bb7fb0476bb022b0b95cc;23cdc87a-c716-4b1a-adcb-52d5ba252304) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa27-5bad333f46a83b4476e399ef;8edf45da-a3d6-43f3-a610-4c1f2b9cf7e9) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-2b/resolve/main/config.json. @@ -1574,7 +1574,7 @@ If this is a private repository, make sure to pass a token having permission to 4bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -1613,7 +1613,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6662590e-119aab900239d621004252cc;f9de7473-c84e-4cc8-af47-0fbcca93bf2b) +huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6663aaa0-0165cfb37e1864d412d294b3;3f2484de-4bf3-4cc0-a30d-580b88882be3) Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. Please make sure you specified the correct `repo_id` and `repo_type`. @@ -1898,7 +1898,7 @@ ImportError: This modeling file requires the following packages that were not fo 4bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -1940,7 +1940,7 @@ torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. 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-4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2362,7 +2362,7 @@ OSError: 2 is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2388,7 +2388,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpnxt8q1c2/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpwo2owa9k/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/pythia-70m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2489,7 +2489,7 @@ TypeError: DeciCoderAttention.forward() 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-8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2518,7 +2518,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625907-772e22f131538c7752dfafac;2b9c1467-624d-4127-98ac-c9870667b37b) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa99-221d5e9e766e9c435aef802d;7443a64b-736d-46ee-8386-afbe8d680859) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/recurrentgemma-2b/resolve/main/config.json. @@ -2638,7 +2638,7 @@ OSError: x is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2667,7 +2667,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258dd-2e3f467435fc21e938266abe;e939d414-5f98-48b8-a017-d978b7d9a86e) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa71-5ca632d460b7f9e233eb17d7;3036ad4a-771d-4926-8274-f025bfed47da) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-7b/resolve/main/config.json. @@ -2743,7 +2743,7 @@ ChildProcessError: Traceback (most recent call last): ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2774,7 +2774,7 @@ RuntimeError: Isolated process exited with non-zero code -9 RuntimeError: Isolated process exited with non-zero code -9 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/pythia-160m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpacux9hfi/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpol23q9l7/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-MoE-A2.7B,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2852,7 +2852,7 @@ torch.cuda.OutOfMemoryError: CUDA out of memory. 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0.06786048126220703, 0.06757478332519531]",tokens/s,14.541187097374328,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -2881,7 +2881,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6662566b-3a01ad4422c9145736b7bc4a;eaab8179-040e-4007-a628-d4f8563bf4a8) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663a813-3bc38f892084d7ff0fe95a09;bce4cb2d-b601-48e1-a839-f360d8555f9b) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/databricks/dbrx-base/resolve/main/config.json. @@ -3219,7 +3219,7 @@ OSError: v is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -3245,7 +3245,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpqb131azx/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpmpsb_4h0/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,M,M,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): @@ -3575,7 +3575,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stabilityai/stablelm-3b-4e1t,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.07507046508789063]",tokens/s,13.142865147499686,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -3604,7 +3604,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258b3-58783ea617d0478b6d6adcde;548de7ba-a37d-4a87-b4ee-9ce3c3339f03) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa49-5f48ff8a4394e23261f0c51d;252be605-66fb-4ff2-b2bd-57b26cc5de93) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-2b/resolve/main/config.json. @@ -3762,7 +3762,7 @@ OSError: t is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -3773,7 +3773,7 @@ RuntimeError: Isolated process exited with non-zero code -9 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.106392578125]",tokens/s,9.084398387062524,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -3812,7 +3812,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66625931-5340a6711f91c39558727642;8102b3cd-90b1-497d-ba32-e4521e83a824) +huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6663aac2-27f3647e5f7f582805988817;ec281b0c-ebe3-4f4b-bd49-db464b50dc4c) Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. Please make sure you specified the correct `repo_id` and `repo_type`. @@ -3853,7 +3853,7 @@ If this is a private repository, make sure to pass a token having permission to raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -3879,7 +3879,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpg3x2p_uk/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpwfs6rf56/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,B,B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): @@ -4053,7 +4053,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,togethercomputer/RedPajama-INCITE-Base-3B-v1,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4079,7 +4079,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpliq8t80t/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmps9b6zzmr/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-350m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4547,7 +4547,7 @@ OSError: 2 is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4635,7 +4635,7 @@ OSError: / does not appear to have a file named config.json. Checkout 'https://h ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stabilityai/stablelm-2-1_6b,,cuda,0,42,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,main,False,False,MB,4809.3184,3018.326016,0.0,2363.490304,2252.568576,s,10,0.8160327301025391,0.08160327301025391,0.0035528023460200007,0.08063833618164062,0.08404655914306641,0.08745086517333983,0.09017430999755859,"[0.09085517120361328, 0.08307734680175781, 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+8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4730,7 +4730,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4759,7 +4759,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258f8-015d2914662f939f27aa9a49;36c6c074-84c9-4c75-96a2-405aeafa1237) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa8b-790057ce14089fe61277a866;0cdb6bb2-267c-4068-a3a6-df84ec90c2a1) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/recurrentgemma-2b/resolve/main/config.json. @@ -4805,7 +4805,7 @@ OSError: We couldn't connect to 'https://huggingface.co' to load this file, coul Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4838,7 +4838,7 @@ ChildProcessError: Traceback (most recent call last): KeyError: 'sdpa' ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4896,7 +4896,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -4995,7 +4995,7 @@ OSError: x is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -5024,7 +5024,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258cf-249593d85ad0a393216c6a33;49b13bdb-59ac-4b2a-a2cb-0332bd98fcd4) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa63-45107a57175269bd64dc5d68;e2b56834-4b95-4f88-803f-227ac26c8c92) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-7b/resolve/main/config.json. @@ -5100,7 +5100,7 @@ ChildProcessError: Traceback (most recent call last): ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -5157,7 +5157,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -5248,7 +5248,7 @@ ValueError: GPTNeoXForCausalLM does not support an attention implementation thro 8bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-14B,,cuda,0,42,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,main,False,False,MB,1545.322496,18067.488768,0.0,17412.653056,17029.3504,s,10,1.419645278930664,0.1419645278930664,0.003559472286009126,0.14028851318359375,0.14528654479980468,0.1484703140258789,0.1510173294067383,"[0.15165408325195312, 0.13952301025390626, 0.14457904052734374, 0.14252738952636718, 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A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, 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0.11333734130859376, 0.11313664245605469, 0.11143782043457032, 0.11198175811767579, 0.11138848114013672, 0.10790605163574218, 0.107863037109375, 0.10752210998535157, 0.10816505432128906, 0.10873865509033204, 0.10831145477294922, 0.11026943969726563, 0.11224486541748047, 0.11183808135986328, 0.11272294616699219, 0.11307315063476563, 0.1127372817993164, 0.10823069000244141, 0.10830025482177734, 0.10829933166503906, 0.10813228607177734, 0.10728345489501953, 0.10729475402832031]",tokens/s,9.015889710082968,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -5307,7 +5307,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6662565d-7faeabf1056849a058513b8b;123fbd94-2d5e-4f3f-a6b8-708f1caad533) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663a7fe-4cbcf21d457fa62a03413531;db619125-6c39-4dcf-b19f-d91037dbd32e) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/databricks/dbrx-base/resolve/main/config.json. @@ -5673,7 +5673,7 @@ OSError: v is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6085,7 +6085,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPT2LMHeadModel does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6114,7 +6114,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258a4-290aa89d5d12381a03ee627f;b1767c56-5f68-4dd0-b60d-9752f1579843) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa3b-13fcb251522c470b62db3b94;61d25ffd-c0c8-40ad-8c0c-55b6efe90733) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-2b/resolve/main/config.json. @@ -6328,7 +6328,7 @@ OSError: t is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6366,7 +6366,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6395,7 +6395,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6434,7 +6434,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66625923-15ea93dd1fe142e650049cac;8f5cff82-826f-4031-989b-eee78d0e3765) +huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6663aab4-15c0d57d60ebb4273b11b267;7d432965-5b8b-44e5-8887-d30d1466f618) Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. Please make sure you specified the correct `repo_id` and `repo_type`. @@ -6503,7 +6503,7 @@ ValueError: GPTNeoXForCausalLM does not support an attention implementation thro raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6731,7 +6731,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6760,7 +6760,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6789,7 +6789,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6879,7 +6879,7 @@ ValueError: GPT2LMHeadModel does not support an attention 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+8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6917,7 +6917,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -6947,7 +6947,7 @@ ValueError: OPTForCausalLM does not support an attention 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0.07344435119628906, 0.07320269012451172, 0.07334297943115234, 0.07339724731445313, 0.07345254516601563, 0.0734361572265625, 0.07359180450439454, 0.07326515197753906]",tokens/s,13.548587797389198,,,True -8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7389,7 +7389,7 @@ OSError: 2 is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7415,7 +7415,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpaunkwn6c/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmppsb6tsys/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/pythia-70m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7548,7 +7548,7 @@ TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cach ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7577,7 +7577,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625900-1b9234db4d4202a532decb1b;f7b1d7ca-e848-4995-82c6-aec66ae1adb6) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa92-77b8dbd81800e60d6640917e;70eb540b-32ec-4bab-9b3f-0db9d07cbe9d) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/recurrentgemma-2b/resolve/main/config.json. @@ -7697,7 +7697,7 @@ OSError: x is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7726,7 +7726,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258d7-2789f93b53b9dcf227e2e7d7;2dd72fb1-f7d4-4cf8-aa71-2f11b56ddef4) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa6a-261079f22f244b394badb70a;77e072f3-e1a5-4eae-bb8b-bcd36fce9396) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-7b/resolve/main/config.json. @@ -7802,7 +7802,7 @@ ChildProcessError: Traceback (most recent call last): ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7927,7 +7927,7 @@ torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 28.00 MiB. GP ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/pythia-160m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7953,7 +7953,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp_icvojpj/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp2xxsgosi/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-MoE-A2.7B,,cuda,0,42,,,,,False,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -7994,7 +7994,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625664-71adac802e5bb84478120165;a669819d-1051-47cb-b59d-09241eb69a37) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663a80b-26ffdd751db1a23b1b180979;a5437189-3048-4a5d-ac50-2b69a0404a42) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/databricks/dbrx-base/resolve/main/config.json. @@ -8396,7 +8396,7 @@ OSError: v is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8422,7 +8422,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpg9yz_23w/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmputt41_f9/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,M,M,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): @@ -8744,7 +8744,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stabilityai/stablelm-3b-4e1t,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8773,7 +8773,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258ab-1803ff661343ed8c3157a950;8d18c055-e84b-49d9-a006-2ad610caf547) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa42-5f6cf8ad51c1596900e0b66e;3800fe6e-177b-47fc-b022-ef1f8e5b1d01) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-2b/resolve/main/config.json. @@ -8934,7 +8934,7 @@ If this is a private repository, make sure to pass a token having permission to 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -8973,7 +8973,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6662592a-5ed9a47f47dc5604786d7944;7a60e7aa-febd-414c-82ca-b1742e2b3d42) +huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6663aabb-1bb3e40a787135840e72787e;6c3bbcdf-b5eb-4ed1-a773-f1a925677b5f) Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. Please make sure you specified the correct `repo_id` and `repo_type`. @@ -9006,7 +9006,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/pythia-410m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -9032,7 +9032,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp7eb3q9fd/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpbx763d_v/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,B,B,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): @@ -9206,7 +9206,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,togethercomputer/RedPajama-INCITE-Base-3B-v1,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -9232,7 +9232,7 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1560, in _check_and_enable_flash_attn_2 raise ValueError( -ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmph02xvhu7/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpfwyagqas/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-350m,,cuda,0,42,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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CUDA out of memory. 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+4bit-bnb-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -9762,7 +9762,7 @@ OSError: 2 is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -9850,7 +9850,7 @@ OSError: / does not appear to have a file named config.json. Checkout 'https://h ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stabilityai/stablelm-2-1_6b,,cuda,0,42,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,main,False,False,MB,1247.379456,2382.88896,0.0,1736.441856,1629.3888,s,10,0.6831577224731445,0.06831577224731446,0.00031992866444009575,0.06818844604492187,0.06852911300659179,0.06888506660461426,0.06916982948303223,"[0.06924102020263671, 0.06817974090576172, 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-4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -9977,7 +9977,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10006,7 +10006,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258f1-5caf31021ec6446320f07bbd;f3d632b3-6759-4728-8fe4-148b011d9e4a) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa85-6600129a48dd233b1894f077;ddea53db-14ad-4386-84d5-a64f2acfa538) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/recurrentgemma-2b/resolve/main/config.json. @@ -10052,7 +10052,7 @@ OSError: We couldn't connect to 'https://huggingface.co' to load this file, coul Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10085,7 +10085,7 @@ ChildProcessError: Traceback (most recent call last): KeyError: 'sdpa' ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10143,7 +10143,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10242,7 +10242,7 @@ OSError: x is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10271,7 +10271,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258c9-3c469fef43bde4e57ceb72f7;2ae5fa08-d71e-4fdb-9d40-03dc95e71c8d) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa5c-55dd03f41956d2ba5f0bff2e;5c268d7c-bf81-48f0-8545-a70189ad2dca) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-7b/resolve/main/config.json. @@ -10388,7 +10388,7 @@ ChildProcessError: Traceback (most recent call last): torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 96.00 MiB. GPU ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10498,7 +10498,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10589,7 +10589,7 @@ ValueError: GPTNeoXForCausalLM does not support an attention implementation thro 4bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-14B,,cuda,0,42,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,217063f5c507ed7cc255df7e1f64c4333a0b4dfe,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,main,False,False,MB,1900.118016,12191.268864,0.0,11544.82176,11094.616064,s,10,5.836541992187499,0.5836541992187498,0.0001443812292786284,0.5836349182128906,0.5838104858398437,0.5838895874023438,0.5839528686523437,"[0.5839686889648438, 0.5835191650390625, 0.5836349487304687, 0.5837929077148437, 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0.06458163452148437, 0.06554521942138672, 0.06498716735839843, 0.0647567367553711, 0.06474543762207031, 0.06464921569824218, 0.06456422424316406, 0.06464102172851563, 0.06398463821411132, 0.06487757110595703, 0.06510079956054687, 0.0646123504638672, 0.06459699249267578, 0.06459085083007812, 0.06455712127685546]",tokens/s,14.805636037349945,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -10648,7 +10648,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625656-1cfd87053b71617a20eb3d77;2c90ac49-0991-421d-bd8f-fddc9b68103d) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663a7f6-341170dc384d951d076d7f22;15799ac9-456d-4bd9-9ee1-f524a3181ea4) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/databricks/dbrx-base/resolve/main/config.json. @@ -11078,7 +11078,7 @@ OSError: v is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -11482,7 +11482,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPT2LMHeadModel does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -11511,7 +11511,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6662589d-10eda7be77a9ee150c689368;65365b3e-96c5-4197-ad80-6e424d909c6b) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa35-0a0057645a902b6426806596;5e788a34-06bd-41ec-8cb0-5c730588cc94) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-2b/resolve/main/config.json. @@ -11755,7 +11755,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -11784,7 +11784,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -11823,7 +11823,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6662591c-6a6dc5e93e302f24348e3887;e37a0d35-10bb-42e2-9b06-1c3f82bc3aa8) +huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6663aaad-12615605298b4ddb4db63197;f14c1347-2125-4edd-8b90-4b79421b79a6) Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. Please make sure you specified the correct `repo_id` and `repo_type`. @@ -11884,7 +11884,7 @@ ValueError: GPTNeoXForCausalLM does not support an attention implementation thro ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-32B,,cuda,0,42,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12112,7 +12112,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoXForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12141,7 +12141,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12170,7 +12170,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12260,7 +12260,7 @@ ValueError: GPT2LMHeadModel does not support an attention implementation through ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,,,,,MB,1333.420032,5291.638784,0.0,4645.19168,4344.057856,s,10,2.7283029174804687,0.27283029174804685,0.00019183435151615697,0.2727732391357422,0.2729598846435547,0.27316828155517575,0.2733349990844727,"[0.27337667846679686, 0.2727817993164062, 0.2727705993652344, 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+4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12330,7 +12330,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12360,7 +12360,7 @@ ValueError: OPTForCausalLM does not support an attention implementation through ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 4bit-bnb-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,microsoft/phi-1_5,,cuda,0,42,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.0,,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,,main,False,False,MB,1249.15712,1921.51552,0.0,1275.068416,1226.534912,s,10,0.6851853408813476,0.06851853408813477,0.00030102007792476667,0.06844302368164062,0.06856670608520508,0.06898828239440918,0.06932554344177247,"[0.06940985870361328, 0.06844143676757812, 0.0684730224609375, 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benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12834,7 +12834,7 @@ OSError: / does not appear to have a file named config.json. 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+8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12901,7 +12901,7 @@ TypeError: DeciCoderAttention.forward() got an unexpected 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7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -12930,7 +12930,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258ea-68d959b27bf8542f06064dc3;f9850204-e284-4da8-8fcd-f14cd6cfb7eb) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa7e-0a8364c65199ab89181b747b;ddc5bafe-bef6-47d6-a726-c6aa2442c91b) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/recurrentgemma-2b/resolve/main/config.json. @@ -13050,7 +13050,7 @@ OSError: x is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -13079,7 +13079,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-666258c2-05fef0a9434c581e42b867af;afad476c-a857-4f26-ac63-157cc5977d89) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa55-0fa67079552f86007f3088b7;51a76262-f18a-4731-b930-859371df1e9c) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-7b/resolve/main/config.json. @@ -13165,7 +13165,7 @@ ImportError: This modeling file requires the following packages that were not fo RuntimeError: Isolated process exited with non-zero code -9 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -13236,7 +13236,7 @@ torch.cuda.OutOfMemoryError: CUDA out of memory. 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7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -13265,7 +13265,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6662564f-08017ffb290107d91cec3adb;4eb06089-aada-4ed2-9531-95d8cba15807) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663a7ef-18679ba81975f55248e222db;40da8dcc-14a2-4571-b9fa-94654e0f5886) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/databricks/dbrx-base/resolve/main/config.json. @@ -13875,7 +13875,7 @@ If this is a private repository, make sure to pass a token having permission to ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stabilityai/stablelm-3b-4e1t,,cuda,0,42,,,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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-8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -13904,7 +13904,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 367, in hf_raise_for_status raise HfHubHTTPError(message, response=response) from e -huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-66625896-33c882c23f698d8429a8c834;855a7a57-8ac2-43a3-8f2b-36c4649cb879) +huggingface_hub.utils._errors.HfHubHTTPError: (Request ID: Root=1-6663aa2e-270762a01e061c7d7862a380;0069d115-07cb-40e6-8223-988d01ed20ed) 403 Forbidden: Authorization error.. Cannot access content at: https://huggingface.co/google/gemma-2b/resolve/main/config.json. @@ -14062,7 +14062,7 @@ OSError: t is not a local folder and is not a valid model identifier listed on ' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True -8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -14073,7 +14073,7 @@ RuntimeError: Isolated process exited with non-zero code -9 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True 8bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,EleutherAI/gpt-neo-125m,,cuda,0,42,,,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,google/recurrentgemma-7b,google/recurrentgemma-7b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch @@ -14112,7 +14112,7 @@ Traceback (most recent call last): hf_raise_for_status(response) File ""/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_errors.py"", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e -huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66625915-667b44653d6f77b219f77ff8;4a657c26-9f6b-4cdc-a449-78180c055c95) +huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6663aaa6-69d2b18056e8845f252455d0;ae88b7f6-f6c5-4292-8588-5a2f87167dd6) Repository Not Found for url: https://huggingface.co/google/recurrentgemma-7b/resolve/main/config.json. Please make sure you specified the correct `repo_id` and `repo_type`. @@ -14341,7 +14341,7 @@ ImportError: This modeling file requires the following packages that were not fo 8bit-bnb-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.30.1,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): +8bit-bnb-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.217-205.860.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.2.1,,4.41.2,,0.31.0,,,,1.20.0,,,,0.11.1,,"Traceback (most recent call last): File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch benchmark_report = Benchmark.launch(benchmark_config) File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch