Initial commit

c0e38fe verified 5 months ago

119 kB

	/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-0.5B-Instruct --quantization q0f32 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	[2024-06-06 23:38:30] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 23:38:30] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 23:38:30] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-06-06 23:38:30] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
	[2024-06-06 23:38:30] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
	[2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
	[2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
	[2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
	[2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
	[2024-06-06 23:38:30] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.model
	[2024-06-06 23:38:30] 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-q0f32-MLC/tokenizer.json[0m
	[2024-06-06 23:38:30] 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-q0f32-MLC/vocab.json[0m
	[2024-06-06 23:38:30] 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-q0f32-MLC/merges.txt[0m
	[2024-06-06 23:38:30] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-0.5B-Instruct/added_tokens.json
	[2024-06-06 23:38:30] 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-q0f32-MLC/tokenizer_config.json[0m
	[2024-06-06 23:38:30] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
	[2024-06-06 23:38:30] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-06-06 23:38:30] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-06-06 23:38:30] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/mlc-chat-config.json[0m
	/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-0.5B-Instruct --quantization q0f32 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	[2024-06-06 23:38:32] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 23:38:33] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-06-06 23:38:35] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-06-06 23:38:36] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-06-06 23:38:38] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
	[2024-06-06 23:38:38] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
	[2024-06-06 23:38:38] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
	[2024-06-06 23:38:38] INFO auto_device.py:79: [92mFound[0m device: vulkan:3
	[2024-06-06 23:38:39] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
	[2024-06-06 23:38:39] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-06-06 23:38:39] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-0.5B-Instruct
	[2024-06-06 23:38:39] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
	[2024-06-06 23:38:39] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-0.5B-Instruct/model.safetensors.index.json
	[2024-06-06 23:38:39] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen2-0.5B-Instruct/model.safetensors.index.json[0m. Use `--source` to override.
	[2024-06-06 23:38:39] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-06-06 23:38:39] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 23:38:39] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-06-06 23:38:39] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
	Traceback (most recent call last):
	File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 196, in _run_module_as_main
	return _run_code(code, main_globals, None,
	File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 86, in _run_code
	exec(code, run_globals)
	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:])
	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
	_convert_args(args)
	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(
	File "/opt/conda/envs/py310/lib/python3.10/site-packages/tvm/contrib/tvmjs.py", line 272, in dump_ndarray_cache
	for k, origin_v in param_generator:
	File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 122, in _param_generator
	loader = LOADER[args.source_format](
	File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/huggingface_loader.py", line 99, in __init__
	check_parameter_usage(extern_param_map, set(self.torch_to_path.keys()))
	File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/utils.py", line 33, in check_parameter_usage
	raise ValueError(
	ValueError: The following extern parameters do not exist in the weight files:
	lm_head.weight
	[1mWeight conversion with arguments:[0m
	[1m--config[0m /models/Qwen2-0.5B-Instruct/config.json
	[1m--quantization[0m NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32')
	[1m--model-type[0m qwen2
	[1m--device[0m cuda:0
	[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-q0f32-MLC
	Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f32 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	[2024-06-06 22:32:41] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:32:41] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:32:41] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-06-06 22:32:41] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
	[2024-06-06 22:32:41] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
	[2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
	[2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
	[2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
	[2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
	[2024-06-06 22:32:41] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model
	[2024-06-06 22:32:41] 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-q0f32-MLC/tokenizer.json[0m
	[2024-06-06 22:32:41] 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-q0f32-MLC/vocab.json[0m
	[2024-06-06 22:32:41] 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-q0f32-MLC/merges.txt[0m
	[2024-06-06 22:32:41] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json
	[2024-06-06 22:32:41] 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-q0f32-MLC/tokenizer_config.json[0m
	[2024-06-06 22:32:41] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
	[2024-06-06 22:32:41] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-06-06 22:32:41] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-06-06 22:32:41] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-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 q0f32 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	[2024-06-06 22:32:42] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:32:43] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-06-06 22:32:43] INFO auto_device.py:79: [92mFound[0m device: cuda:1
	[2024-06-06 22:32:44] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-06-06 22:32:45] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-06-06 22:32:47] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
	[2024-06-06 22:32:47] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
	[2024-06-06 22:32:47] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
	[2024-06-06 22:32:48] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
	[2024-06-06 22:32:48] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-06-06 22:32:48] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct
	[2024-06-06 22:32:48] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
	[2024-06-06 22:32:48] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json
	[2024-06-06 22:32:48] 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.
	[2024-06-06 22:32:48] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-06-06 22:32:48] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:32:48] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-06-06 22:32:48] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
	[1mWeight conversion with arguments:[0m
	[1m--config[0m /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[1m--quantization[0m NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32')
	[1m--model-type[0m qwen2
	[1m--device[0m cuda:0
	[1m--source[0m /ssd2/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-q0f32-MLC
	Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	0%\| \| 0/170 [00:00<?, ?it/s] [2024-06-06 22:32:49] INFO huggingface_loader.py:185: Loading HF parameters from: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
	0%\| \| 0/170 [00:00<?, ?it/s] [2024-06-06 22:32:53] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.embed_tokens.weight[0m", shape: (151936, 896), dtype: float32
	0%\| \| 0/170 [00:03<?, ?it/s]/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
	1%\| \| 1/170 [00:05<15:51, 5.63s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (896,), dtype: float32
	1%\| \| 1/170 [00:05<15:51, 5.63s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float32
	1%\| \| 1/170 [00:05<15:51, 5.63s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float32
	1%\| \| 1/170 [00:05<15:51, 5.63s/it] 2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (896,), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (896,), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float32
	2%\|▏ \| 4/170 [00:05<03:02, 1.10s/it] 6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (896,), dtype: float32
	6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float32
	6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.weight[0m", shape: (1152, 896), dtype: float32
	6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.weight[0m", shape: (896, 896), dtype: float32
	6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (896,), dtype: float32
	6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.weight[0m", shape: (896, 4864), dtype: float32
	6%\|▋ \| 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.weight[0m", shape: (9728, 896), dtype: float32
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	[2024-06-06 22:32:58] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
	[2024-06-06 22:32:59] INFO stats.py:77: [92mTime usage[0m: HF loading: 3.282 sec; Pre-quantization mapping: 0.313 sec; Quantization: 0.000 sec
	[2024-06-06 22:32:59] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB
	[2024-06-06 22:32:59] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 1.840 GB
	[2024-06-06 22:32:59] INFO convert_weight.py:160: [92mTotal parameters[0m: 494,032,768
	[2024-06-06 22:32:59] INFO convert_weight.py:161: [92mBits per parameter[0m: 32.000
	[2024-06-06 22:32:59] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC[0m

	All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache.json
	Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache-b16.json
	/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f32 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	[2024-06-06 22:35:15] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:35:15] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:35:15] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-06-06 22:35:15] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
	[2024-06-06 22:35:15] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
	[2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
	[2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
	[2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
	[2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
	[2024-06-06 22:35:15] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model
	[2024-06-06 22:35:15] 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-q0f32-MLC/tokenizer.json[0m
	[2024-06-06 22:35:15] 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-q0f32-MLC/vocab.json[0m
	[2024-06-06 22:35:15] 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-q0f32-MLC/merges.txt[0m
	[2024-06-06 22:35:15] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json
	[2024-06-06 22:35:15] 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-q0f32-MLC/tokenizer_config.json[0m
	[2024-06-06 22:35:15] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
	[2024-06-06 22:35:15] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-06-06 22:35:15] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-06-06 22:35:15] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-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 q0f32 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
	[2024-06-06 22:35:16] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:35:17] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-06-06 22:35:17] INFO auto_device.py:79: [92mFound[0m device: cuda:1
	[2024-06-06 22:35:18] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-06-06 22:35:19] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-06-06 22:35:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
	[2024-06-06 22:35:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
	[2024-06-06 22:35:20] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
	[2024-06-06 22:35:22] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
	[2024-06-06 22:35:22] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-06-06 22:35:22] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct
	[2024-06-06 22:35:22] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
	[2024-06-06 22:35:22] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json
	[2024-06-06 22:35:22] 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.
	[2024-06-06 22:35:22] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-06-06 22:35:22] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:35:22] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-06-06 22:35:22] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
	[1mWeight conversion with arguments:[0m
	[1m--config[0m /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[1m--quantization[0m NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32')
	[1m--model-type[0m qwen2
	[1m--device[0m cuda:0
	[1m--source[0m /ssd2/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-q0f32-MLC
	Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC
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	0%\| \| 0/170 [00:01<?, ?it/s]/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
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	[2024-06-06 22:35:32] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
	[2024-06-06 22:35:32] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.497 sec; Pre-quantization mapping: 0.325 sec; Quantization: 0.000 sec
	[2024-06-06 22:35:32] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB
	[2024-06-06 22:35:32] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 1.840 GB
	[2024-06-06 22:35:32] INFO convert_weight.py:160: [92mTotal parameters[0m: 494,032,768
	[2024-06-06 22:35:32] INFO convert_weight.py:161: [92mBits per parameter[0m: 32.000
	[2024-06-06 22:35:32] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC[0m

	All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache.json
	Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache-b16.json