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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-0.5B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 23:38:00] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-0.5B-Instruct/config.json |
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[2024-06-06 23:38:00] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 23:38:00] 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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[2024-06-06 23:38:00] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-06-06 23:38:00] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643 |
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[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643 |
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[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643] |
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[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1 |
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[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7 |
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[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8 |
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[2024-06-06 23:38:00] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.model |
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[2024-06-06 23:38:00] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer.json[0m |
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[2024-06-06 23:38:00] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-0.5B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/vocab.json[0m |
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[2024-06-06 23:38:00] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-0.5B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/merges.txt[0m |
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[2024-06-06 23:38:00] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-0.5B-Instruct/added_tokens.json |
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[2024-06-06 23:38:00] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer_config.json[0m |
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[2024-06-06 23:38:01] 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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[2024-06-06 23:38:01] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-06-06 23:38:01] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 |
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[2024-06-06 23:38:01] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/mlc-chat-config.json[0m |
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-0.5B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 23:38:02] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-0.5B-Instruct/config.json |
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[2024-06-06 23:38:04] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
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[2024-06-06 23:38:05] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 |
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[2024-06-06 23:38:07] INFO auto_device.py:88: [91mNot found[0m device: metal:0 |
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[2024-06-06 23:38:08] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 |
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[2024-06-06 23:38:08] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 |
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[2024-06-06 23:38:08] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 |
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[2024-06-06 23:38:08] INFO auto_device.py:79: [92mFound[0m device: vulkan:3 |
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[2024-06-06 23:38:10] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 |
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[2024-06-06 23:38:10] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-06-06 23:38:10] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-0.5B-Instruct |
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[2024-06-06 23:38:10] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-06 23:38:10] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-0.5B-Instruct/model.safetensors.index.json |
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[2024-06-06 23:38:10] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen2-0.5B-Instruct/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-06 23:38:10] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-06 23:38:10] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 23:38:10] 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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[2024-06-06 23:38:10] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 |
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Traceback (most recent call last): |
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File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 196, in _run_module_as_main |
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return _run_code(code, main_globals, None, |
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File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 86, in _run_code |
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exec(code, run_globals) |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 64, in <module> |
|
main() |
|
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 37, in main |
|
cli.main(sys.argv[2:]) |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/cli/convert_weight.py", line 88, in main |
|
convert_weight( |
|
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 181, in convert_weight |
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_convert_args(args) |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 145, in _convert_args |
|
tvmjs.dump_ndarray_cache( |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/tvm/contrib/tvmjs.py", line 272, in dump_ndarray_cache |
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for k, origin_v in param_generator: |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 122, in _param_generator |
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loader = LOADER[args.source_format]( |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/huggingface_loader.py", line 99, in __init__ |
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check_parameter_usage(extern_param_map, set(self.torch_to_path.keys())) |
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File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/utils.py", line 33, in check_parameter_usage |
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raise ValueError( |
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ValueError: The following extern parameters do not exist in the weight files: |
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lm_head.weight |
|
[1mWeight conversion with arguments:[0m |
|
[1m--config[0m /models/Qwen2-0.5B-Instruct/config.json |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
|
[1m--model-type[0m qwen2 |
|
[1m--device[0m cuda:0 |
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[1m--source[0m /models/Qwen2-0.5B-Instruct/model.safetensors.index.json |
|
[1m--source-format[0m huggingface-safetensor |
|
[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
|
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
|
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 22:33:44] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json |
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[2024-06-06 22:33:44] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 22:33:44] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 22:33:44] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-06-06 22:33:44] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643 |
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[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643 |
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[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643] |
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[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1 |
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[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7 |
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[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8 |
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[2024-06-06 22:33:44] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model |
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[2024-06-06 22:33:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer.json[0m |
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[2024-06-06 22:33:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/vocab.json[0m |
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[2024-06-06 22:33:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/merges.txt[0m |
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[2024-06-06 22:33:44] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json |
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[2024-06-06 22:33:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer_config.json[0m |
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[2024-06-06 22:33:44] 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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[2024-06-06 22:33:44] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-06-06 22:33:44] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 |
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[2024-06-06 22:33:44] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/mlc-chat-config.json[0m |
|
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 22:33:45] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json |
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[2024-06-06 22:33:46] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
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[2024-06-06 22:33:46] INFO auto_device.py:79: [92mFound[0m device: cuda:1 |
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[2024-06-06 22:33:47] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 |
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[2024-06-06 22:33:48] INFO auto_device.py:88: [91mNot found[0m device: metal:0 |
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[2024-06-06 22:33:50] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 |
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[2024-06-06 22:33:50] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 |
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[2024-06-06 22:33:50] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 |
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[2024-06-06 22:33:51] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 |
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[2024-06-06 22:33:51] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-06-06 22:33:51] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct |
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[2024-06-06 22:33:51] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-06 22:33:51] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json |
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[2024-06-06 22:33:51] INFO auto_weight.py:107: Using source weight configuration: [1m/ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-06 22:33:51] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-06 22:33:51] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 22:33:51] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 22:33:51] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /ssd2/models/Qwen2-0.5B-Instruct/config.json |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
|
[1m--model-type[0m qwen2 |
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[1m--device[0m cuda:0 |
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[1m--source[0m /ssd2/models/Qwen2-0.5B-Instruct/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/Qwen2-0.5B-Instruct-q0f16-MLC |
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Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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0%| | 0/170 [00:00<?, ?it/s]
[2024-06-06 22:33:52] INFO huggingface_loader.py:185: Loading HF parameters from: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors |
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[2024-06-06 22:33:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.embed_tokens.weight[0m", shape: (151936, 896), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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5%|β | 8/170 [00:02<00:41, 3.92it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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7%|β | 12/170 [00:02<00:25, 6.25it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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7%|β | 12/170 [00:03<00:25, 6.25it/s]
11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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11%|β | 18/170 [00:03<00:14, 10.65it/s]
15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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15%|ββ | 25/170 [00:03<00:08, 16.41it/s]
19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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19%|ββ | 32/170 [00:03<00:06, 22.31it/s]
23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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23%|βββ | 39/170 [00:03<00:04, 27.96it/s]
27%|βββ | 46/170 [00:03<00:03, 33.04it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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27%|βββ | 46/170 [00:03<00:03, 33.04it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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27%|βββ | 46/170 [00:03<00:03, 33.04it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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27%|βββ | 46/170 [00:03<00:03, 33.04it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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27%|βββ | 46/170 [00:03<00:03, 33.04it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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27%|βββ | 46/170 [00:03<00:03, 33.04it/s]
31%|βββ | 53/170 [00:03<00:03, 37.36it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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31%|βββ | 53/170 [00:03<00:03, 37.36it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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31%|βββ | 53/170 [00:03<00:03, 37.36it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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31%|βββ | 53/170 [00:03<00:03, 37.36it/s]
35%|ββββ | 60/170 [00:03<00:02, 40.84it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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35%|ββββ | 60/170 [00:03<00:02, 40.84it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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35%|ββββ | 60/170 [00:03<00:02, 40.84it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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35%|ββββ | 60/170 [00:03<00:02, 40.84it/s]
39%|ββββ | 67/170 [00:03<00:02, 43.61it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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39%|ββββ | 67/170 [00:03<00:02, 43.61it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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39%|ββββ | 67/170 [00:03<00:02, 43.61it/s]
[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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39%|ββββ | 67/170 [00:04<00:02, 43.61it/s]
44%|βββββ | 74/170 [00:04<00:02, 45.67it/s]
[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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48%|βββββ | 81/170 [00:04<00:01, 47.16it/s]
[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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48%|βββββ | 81/170 [00:04<00:01, 47.16it/s]
[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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48%|βββββ | 81/170 [00:04<00:01, 47.16it/s]
52%|ββββββ | 88/170 [00:04<00:01, 48.31it/s]
[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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52%|ββββββ | 88/170 [00:04<00:01, 48.31it/s]
[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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52%|ββββββ | 88/170 [00:04<00:01, 48.31it/s]
56%|ββββββ | 95/170 [00:04<00:01, 49.15it/s]
[2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:33:58] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors |
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[2024-06-06 22:33:59] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB |
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[2024-06-06 22:33:59] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.920 GB |
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/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 22:36:13] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json |
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[2024-06-06 22:36:13] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 22:36:13] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643 |
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[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1 |
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[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7 |
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[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8 |
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[2024-06-06 22:36:13] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model |
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[2024-06-06 22:36:13] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/vocab.json[0m |
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[2024-06-06 22:36:13] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/merges.txt[0m |
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[2024-06-06 22:36:13] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json |
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[2024-06-06 22:36:13] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer_config.json[0m |
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[2024-06-06 22:36:13] 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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[2024-06-06 22:36:13] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 22:36:14] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json |
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[2024-06-06 22:36:20] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct |
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[2024-06-06 22:36:20] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-06 22:36:20] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json |
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[2024-06-06 22:36:20] INFO auto_weight.py:107: Using source weight configuration: [1m/ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-06 22:36:20] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-06 22:36:20] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 22:36:20] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 22:36:20] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /ssd2/models/Qwen2-0.5B-Instruct/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-format[0m huggingface-safetensor |
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC |
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[2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float16 |
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31%|βββ | 52/170 [00:04<00:04, 26.61it/s]
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35%|ββββ | 59/170 [00:04<00:03, 28.55it/s]
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39%|ββββ | 66/170 [00:05<00:03, 30.21it/s]
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43%|βββββ | 73/170 [00:05<00:03, 31.33it/s]
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47%|βββββ | 80/170 [00:05<00:02, 32.19it/s]
[2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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[2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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51%|βββββ | 87/170 [00:05<00:02, 32.91it/s]
[2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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55%|ββββββ | 94/170 [00:05<00:02, 33.17it/s]
[2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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[2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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68%|βββββββ | 115/170 [00:06<00:01, 34.18it/s]
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[2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float16 |
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[2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float16 |
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72%|ββββββββ | 122/170 [00:06<00:01, 33.96it/s]
[2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float16 |
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[2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (896,), dtype: float16 |
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[2024-06-06 22:36:30] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors |
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[2024-06-06 22:36:30] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.528 sec; Pre-quantization mapping: 1.849 sec; Quantization: 0.000 sec |
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[2024-06-06 22:36:30] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB |
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[2024-06-06 22:36:30] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.920 GB |
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[2024-06-06 22:36:30] INFO convert_weight.py:160: [92mTotal parameters[0m: 494,032,768 |
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[2024-06-06 22:36:30] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000 |
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[2024-06-06 22:36:30] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC[0m |
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All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/ndarray-cache.json |
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