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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 |
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[2024-06-04 03:34:12] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen1.5-1.8B-Chat/config.json |
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[2024-06-04 03:34:12] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-04 03:34:12] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-04 03:34:12] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-06-04 03:34:12] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643 |
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[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643 |
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[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643] |
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[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1 |
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[2024-06-04 03:34:12] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8 |
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[2024-06-04 03:34:12] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer.model |
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[2024-06-04 03:34:12] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/tokenizer.json[0m |
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[2024-06-04 03:34:12] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-1.8B-Chat/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/vocab.json[0m |
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[2024-06-04 03:34:12] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-1.8B-Chat/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/merges.txt[0m |
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[2024-06-04 03:34:12] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen1.5-1.8B-Chat/added_tokens.json |
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[2024-06-04 03:34:12] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/tokenizer_config.json[0m |
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[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} |
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[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0 |
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[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 |
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[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting [1mmean_gen_len[0m: 128 |
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[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting [1mmax_gen_len[0m: 512 |
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[2024-06-04 03:34:12] INFO gen_config.py:32: [System default] Setting [1mshift_fill_factor[0m: 0.3 |
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[2024-06-04 03:34:12] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC/mlc-chat-config.json[0m |
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/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 |
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[2024-06-04 03:34:14] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen1.5-1.8B-Chat/config.json |
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[2024-06-04 03:34:15] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
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[2024-06-04 03:34:17] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 |
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[2024-06-04 03:34:18] INFO auto_device.py:88: [91mNot found[0m device: metal:0 |
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[2024-06-04 03:34:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 |
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[2024-06-04 03:34:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 |
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[2024-06-04 03:34:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 |
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[2024-06-04 03:34:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:3 |
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[2024-06-04 03:34:21] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 |
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[2024-06-04 03:34:21] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-06-04 03:34:21] INFO auto_weight.py:71: Finding weights in: /models/Qwen1.5-1.8B-Chat |
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[2024-06-04 03:34:21] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-04 03:34:21] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json |
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[2024-06-04 03:34:21] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen1.5-1.8B-Chat/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-04 03:34:21] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-04 03:34:21] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-04 03:34:21] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-04 03:34:21] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /models/Qwen1.5-1.8B-Chat/config.json |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
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[1m--model-type[0m qwen2 |
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[1m--device[0m cuda:0 |
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[1m--source[0m /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json |
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[1m--source-format[0m huggingface-safetensor |
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC |
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Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC |
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[2024-06-04 03:34:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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27%|βββ | 46/171 [00:14<00:07, 16.83it/s]
28%|βββ | 48/171 [00:14<00:08, 14.08it/s]
[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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28%|βββ | 48/171 [00:14<00:08, 14.08it/s]
[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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28%|βββ | 48/171 [00:14<00:08, 14.08it/s]
29%|βββ | 50/171 [00:14<00:07, 15.24it/s]
[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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29%|βββ | 50/171 [00:14<00:07, 15.24it/s]
[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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29%|βββ | 50/171 [00:14<00:07, 15.24it/s]
[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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29%|βββ | 50/171 [00:14<00:07, 15.24it/s]
31%|βββ | 53/171 [00:14<00:06, 17.29it/s]
[2024-06-04 03:34:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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31%|βββ | 53/171 [00:14<00:06, 17.29it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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31%|βββ | 53/171 [00:14<00:06, 17.29it/s]
32%|ββββ | 55/171 [00:14<00:08, 14.41it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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32%|ββββ | 55/171 [00:14<00:08, 14.41it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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32%|ββββ | 55/171 [00:14<00:08, 14.41it/s]
33%|ββββ | 57/171 [00:14<00:07, 15.56it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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33%|ββββ | 57/171 [00:14<00:07, 15.56it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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33%|ββββ | 57/171 [00:14<00:07, 15.56it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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33%|ββββ | 57/171 [00:14<00:07, 15.56it/s]
35%|ββββ | 60/171 [00:14<00:06, 17.64it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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35%|ββββ | 60/171 [00:14<00:06, 17.64it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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35%|ββββ | 60/171 [00:14<00:06, 17.64it/s]
36%|ββββ | 62/171 [00:14<00:07, 14.59it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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36%|ββββ | 62/171 [00:14<00:07, 14.59it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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36%|ββββ | 62/171 [00:14<00:07, 14.59it/s]
37%|ββββ | 64/171 [00:15<00:06, 15.72it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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37%|ββββ | 64/171 [00:15<00:06, 15.72it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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37%|ββββ | 64/171 [00:15<00:06, 15.72it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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37%|ββββ | 64/171 [00:15<00:06, 15.72it/s]
39%|ββββ | 67/171 [00:15<00:05, 17.79it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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39%|ββββ | 67/171 [00:15<00:05, 17.79it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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39%|ββββ | 67/171 [00:15<00:05, 17.79it/s]
40%|ββββ | 69/171 [00:15<00:06, 14.67it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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40%|ββββ | 69/171 [00:15<00:06, 14.67it/s]
[2024-06-04 03:34:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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40%|ββββ | 69/171 [00:15<00:06, 14.67it/s]
42%|βββββ | 71/171 [00:15<00:06, 15.80it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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42%|βββββ | 71/171 [00:15<00:06, 15.80it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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42%|βββββ | 71/171 [00:15<00:06, 15.80it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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42%|βββββ | 71/171 [00:15<00:06, 15.80it/s]
43%|βββββ | 74/171 [00:15<00:05, 17.85it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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43%|βββββ | 74/171 [00:15<00:05, 17.85it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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43%|βββββ | 74/171 [00:15<00:05, 17.85it/s]
44%|βββββ | 76/171 [00:15<00:06, 14.73it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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44%|βββββ | 76/171 [00:15<00:06, 14.73it/s]
46%|βββββ | 78/171 [00:15<00:05, 15.82it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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46%|βββββ | 78/171 [00:15<00:05, 15.82it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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47%|βββββ | 81/171 [00:16<00:05, 17.86it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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47%|βββββ | 81/171 [00:16<00:05, 17.86it/s]
49%|βββββ | 83/171 [00:16<00:05, 14.72it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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49%|βββββ | 83/171 [00:16<00:05, 14.72it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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49%|βββββ | 83/171 [00:16<00:05, 14.72it/s]
50%|βββββ | 85/171 [00:16<00:05, 15.83it/s]
[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 03:34:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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51%|ββββββ | 88/171 [00:16<00:04, 17.89it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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51%|ββββββ | 88/171 [00:16<00:04, 17.89it/s]
53%|ββββββ | 90/171 [00:16<00:05, 14.73it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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53%|ββββββ | 90/171 [00:16<00:05, 14.73it/s]
54%|ββββββ | 92/171 [00:16<00:05, 15.76it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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56%|ββββββ | 95/171 [00:16<00:04, 17.86it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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57%|ββββββ | 97/171 [00:17<00:05, 14.78it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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57%|ββββββ | 97/171 [00:17<00:05, 14.78it/s]
58%|ββββββ | 99/171 [00:17<00:04, 15.87it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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60%|ββββββ | 102/171 [00:17<00:03, 17.97it/s]
[2024-06-04 03:34:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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60%|ββββββ | 102/171 [00:17<00:03, 17.97it/s]
61%|ββββββ | 104/171 [00:17<00:04, 14.77it/s]
[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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62%|βββββββ | 106/171 [00:17<00:04, 15.85it/s]
[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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64%|βββββββ | 109/171 [00:17<00:03, 17.50it/s]
[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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65%|βββββββ | 111/171 [00:18<00:05, 11.52it/s]
[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.bias[0m", shape: (6144,), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.weight[0m", shape: (6144, 2048), dtype: float16 |
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66%|βββββββ | 113/171 [00:18<00:04, 12.95it/s]
[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 03:34:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.weight[0m", shape: (2048, 5504), dtype: float16 |
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68%|βββββββ | 116/171 [00:18<00:03, 15.50it/s]
[2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.weight[0m", shape: (11008, 2048), dtype: float16 |
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[2024-06-04 03:34:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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69%|βββββββ | 118/171 [00:18<00:04, 11.18it/s]
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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 |
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[2024-06-04 03:34:45] INFO stats.py:77: [92mTime usage[0m: HF loading: 4.456 sec; Pre-quantization mapping: 8.772 sec; Quantization: 0.000 sec |
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[2024-06-04 03:34:45] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 6.843 GB. Total bytes loaded from disk: 6.843 GB |
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[2024-06-04 03:34:45] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 3.421 GB |
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[2024-06-04 03:34:45] INFO convert_weight.py:160: [92mTotal parameters[0m: 1,836,828,672 |
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[2024-06-04 03:34:45] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000 |
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[2024-06-04 03:34:45] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q0f16-MLC[0m |
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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 |
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