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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen1.5-1.8B-Chat --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC
[2024-06-04 03:34:12] INFO auto_config.py:116: Found model configuration: /models/Qwen1.5-1.8B-Chat/config.json
[2024-06-04 03:34:12] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-04 03:34:12] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-04 03:34:12] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
[2024-06-04 03:34:12] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643
[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643
[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1
[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8
[2024-06-04 03:34:12] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer.model
[2024-06-04 03:34:12] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/tokenizer.json
[2024-06-04 03:34:12] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/vocab.json
[2024-06-04 03:34:12] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/merges.txt
[2024-06-04 03:34:12] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen1.5-1.8B-Chat/added_tokens.json
[2024-06-04 03:34:12] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/tokenizer_config.json
[2024-06-04 03:34:12] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128
[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting max_gen_len: 512
[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3
[2024-06-04 03:34:12] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen1.5-1.8B-Chat --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC
[2024-06-04 03:34:14] INFO auto_config.py:116: Found model configuration: /models/Qwen1.5-1.8B-Chat/config.json
[2024-06-04 03:34:15] INFO auto_device.py:79: Found device: cuda:0
[2024-06-04 03:34:17] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-04 03:34:18] INFO auto_device.py:88: Not found device: metal:0
[2024-06-04 03:34:20] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-04 03:34:20] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-04 03:34:20] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-04 03:34:20] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-04 03:34:21] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-04 03:34:21] INFO auto_device.py:35: Using device: cuda:0
[2024-06-04 03:34:21] INFO auto_weight.py:71: Finding weights in: /models/Qwen1.5-1.8B-Chat
[2024-06-04 03:34:21] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-04 03:34:21] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json
[2024-06-04 03:34:21] INFO auto_weight.py:107: Using source weight configuration: /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json. Use `--source` to override.
[2024-06-04 03:34:21] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-04 03:34:21] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-04 03:34:21] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-04 03:34:21] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /models/Qwen1.5-1.8B-Chat/config.json
--quantization NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
--model-type qwen2
--device cuda:0
--source /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC
0%| | 0/171 [00:00<?, ?it/s] [2024-06-04 03:34:22] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Qwen1.5-1.8B-Chat/model.safetensors
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51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/171 [00:16<00:04, 17.89it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 90/171 [00:16<00:05, 14.73it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.c_attn.bias", shape: (6144,), dtype: float16
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 90/171 [00:16<00:05, 14.73it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 90/171 [00:16<00:05, 14.73it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 92/171 [00:16<00:05, 15.76it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
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56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/171 [00:17<00:04, 17.86it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 97/171 [00:17<00:05, 14.78it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.c_attn.bias", shape: (6144,), dtype: float16
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 97/171 [00:17<00:05, 14.78it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 97/171 [00:17<00:05, 14.78it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 99/171 [00:17<00:04, 15.87it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 99/171 [00:17<00:04, 15.87it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.input_layernorm.weight", shape: (2048,), dtype: float16
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 99/171 [00:17<00:04, 15.87it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 99/171 [00:17<00:04, 15.87it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 102/171 [00:17<00:03, 17.97it/s] [2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 102/171 [00:17<00:03, 17.97it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.weight", shape: (2048,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 102/171 [00:17<00:03, 17.97it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 104/171 [00:17<00:04, 14.77it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.c_attn.bias", shape: (6144,), dtype: float16
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 104/171 [00:17<00:04, 14.77it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 104/171 [00:17<00:04, 14.77it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 106/171 [00:17<00:04, 15.85it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 106/171 [00:17<00:04, 15.85it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.input_layernorm.weight", shape: (2048,), dtype: float16
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62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 106/171 [00:17<00:04, 15.85it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 109/171 [00:17<00:03, 17.50it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 109/171 [00:18<00:03, 17.50it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.weight", shape: (2048,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 109/171 [00:18<00:03, 17.50it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 111/171 [00:18<00:05, 11.52it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.c_attn.bias", shape: (6144,), dtype: float16
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65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 111/171 [00:18<00:05, 11.52it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 113/171 [00:18<00:04, 12.95it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 113/171 [00:18<00:04, 12.95it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (2048,), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 113/171 [00:18<00:04, 12.95it/s] [2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 113/171 [00:18<00:04, 12.95it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 116/171 [00:18<00:03, 15.50it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 116/171 [00:18<00:03, 15.50it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (2048,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 116/171 [00:18<00:03, 15.50it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 118/171 [00:18<00:04, 11.18it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.c_attn.bias", shape: (6144,), dtype: float16
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 118/171 [00:18<00:04, 11.18it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 118/171 [00:18<00:04, 11.18it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/171 [00:18<00:04, 12.65it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/171 [00:18<00:04, 12.65it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.input_layernorm.weight", shape: (2048,), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/171 [00:18<00:04, 12.65it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/171 [00:18<00:04, 12.65it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 123/171 [00:18<00:03, 15.18it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 123/171 [00:19<00:03, 15.18it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.weight", shape: (2048,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 123/171 [00:19<00:03, 15.18it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 125/171 [00:19<00:04, 11.25it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.c_attn.bias", shape: (6144,), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 125/171 [00:19<00:04, 11.25it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 125/171 [00:19<00:04, 11.25it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 127/171 [00:19<00:03, 12.38it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 127/171 [00:19<00:03, 12.38it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.input_layernorm.weight", shape: (2048,), dtype: float16
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 127/171 [00:19<00:03, 12.38it/s] [2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 127/171 [00:19<00:03, 12.38it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 130/171 [00:19<00:02, 14.83it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 130/171 [00:19<00:02, 14.83it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.weight", shape: (2048,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 130/171 [00:19<00:02, 14.83it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 132/171 [00:19<00:04, 9.01it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.c_attn.bias", shape: (6144,), dtype: float16
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 132/171 [00:19<00:04, 9.01it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 132/171 [00:19<00:04, 9.01it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/171 [00:20<00:03, 10.52it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/171 [00:20<00:03, 10.52it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.input_layernorm.weight", shape: (2048,), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/171 [00:20<00:03, 10.52it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/171 [00:20<00:03, 10.52it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 137/171 [00:20<00:02, 13.07it/s] [2024-06-04 03:34:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 137/171 [00:20<00:02, 13.07it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.weight", shape: (2048,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 137/171 [00:20<00:02, 13.07it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/171 [00:20<00:03, 10.27it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.c_attn.bias", shape: (6144,), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/171 [00:20<00:03, 10.27it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/171 [00:20<00:03, 10.27it/s] 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 141/171 [00:20<00:02, 11.76it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 141/171 [00:20<00:02, 11.76it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.input_layernorm.weight", shape: (2048,), dtype: float16
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 141/171 [00:20<00:02, 11.76it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 141/171 [00:20<00:02, 11.76it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 144/171 [00:20<00:01, 14.27it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 144/171 [00:20<00:01, 14.27it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.weight", shape: (2048,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 144/171 [00:20<00:01, 14.27it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 146/171 [00:20<00:02, 11.77it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.c_attn.bias", shape: (6144,), dtype: float16
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 146/171 [00:20<00:02, 11.77it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 146/171 [00:21<00:02, 11.77it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 148/171 [00:21<00:01, 13.04it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 148/171 [00:21<00:01, 13.04it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.input_layernorm.weight", shape: (2048,), dtype: float16
87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 148/171 [00:21<00:01, 13.04it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 148/171 [00:21<00:01, 13.04it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/171 [00:21<00:01, 15.45it/s] [2024-06-04 03:34:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/171 [00:21<00:01, 15.45it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.post_attention_layernorm.weight", shape: (2048,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/171 [00:21<00:01, 15.45it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 153/171 [00:21<00:01, 11.67it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.c_attn.bias", shape: (6144,), dtype: float16
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 153/171 [00:21<00:01, 11.67it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 153/171 [00:21<00:01, 11.67it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 155/171 [00:21<00:01, 13.12it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 155/171 [00:21<00:01, 13.12it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.input_layernorm.weight", shape: (2048,), dtype: float16
91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 155/171 [00:21<00:01, 13.12it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 155/171 [00:21<00:01, 13.12it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 158/171 [00:21<00:00, 15.60it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 158/171 [00:21<00:00, 15.60it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.post_attention_layernorm.weight", shape: (2048,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 158/171 [00:22<00:00, 15.60it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 160/171 [00:22<00:01, 10.41it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.c_attn.bias", shape: (6144,), dtype: float16
94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 160/171 [00:22<00:01, 10.41it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 160/171 [00:22<00:01, 10.41it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 162/171 [00:22<00:00, 11.89it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 162/171 [00:22<00:00, 11.89it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.input_layernorm.weight", shape: (2048,), dtype: float16
95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 162/171 [00:22<00:00, 11.89it/s] [2024-06-04 03:34:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.mlp.down_proj.weight", shape: (2048, 5504), dtype: float16
95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 162/171 [00:22<00:00, 11.89it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 165/171 [00:22<00:00, 14.35it/s] [2024-06-04 03:34:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.mlp.gate_up_proj.weight", shape: (11008, 2048), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 165/171 [00:22<00:00, 14.35it/s] [2024-06-04 03:34:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.post_attention_layernorm.weight", shape: (2048,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 165/171 [00:22<00:00, 14.35it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 167/171 [00:22<00:00, 9.14it/s] [2024-06-04 03:34:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.c_attn.bias", shape: (6144,), dtype: float16
98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 167/171 [00:22<00:00, 9.14it/s] [2024-06-04 03:34:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.c_attn.weight", shape: (6144, 2048), dtype: float16
98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 167/171 [00:22<00:00, 9.14it/s] 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 169/171 [00:22<00:00, 10.65it/s] [2024-06-04 03:34:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 169/171 [00:22<00:00, 10.65it/s] [2024-06-04 03:34:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.norm.weight", shape: (2048,), dtype: float16
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[2024-06-04 03:34:45] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen1.5-1.8B-Chat/model.safetensors
[2024-06-04 03:34:45] INFO stats.py:77: Time usage: HF loading: 4.456 sec; Pre-quantization mapping: 8.772 sec; Quantization: 0.000 sec
[2024-06-04 03:34:45] INFO stats.py:91: RAM usage: Peak RAM: 6.843 GB. Total bytes loaded from disk: 6.843 GB
[2024-06-04 03:34:45] INFO convert_weight.py:155: Parameter size after quantization: 3.421 GB
[2024-06-04 03:34:45] INFO convert_weight.py:160: Total parameters: 1,836,828,672
[2024-06-04 03:34:45] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-04 03:34:45] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC
All finished, 75 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/ndarray-cache.json