Initial commit

f0528c6 verified 7 months ago

172 kB

	/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-0.5B-Instruct --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	[2024-06-06 23:38:15] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 23:38:15] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 23:38:15] 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 23:38:15] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
	[2024-06-06 23:38:15] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-06-06 23:38:15] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-06-06 23:38:15] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
	[2024-06-06 23:38:15] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
	[2024-06-06 23:38:15] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
	[2024-06-06 23:38:15] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
	[2024-06-06 23:38:15] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
	[2024-06-06 23:38:15] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.model
	[2024-06-06 23:38:15] 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-q4f32_1-MLC/tokenizer.json[0m
	[2024-06-06 23:38:15] 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-q4f32_1-MLC/vocab.json[0m
	[2024-06-06 23:38:15] 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-q4f32_1-MLC/merges.txt[0m
	[2024-06-06 23:38:15] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-0.5B-Instruct/added_tokens.json
	[2024-06-06 23:38:15] 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-q4f32_1-MLC/tokenizer_config.json[0m
	[2024-06-06 23:38:15] 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 23:38:15] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-06-06 23:38:15] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-06-06 23:38:15] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC/mlc-chat-config.json[0m
	/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-0.5B-Instruct --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	[2024-06-06 23:38:17] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 23:38:18] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-06-06 23:38:20] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-06-06 23:38:21] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-06-06 23:38:23] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
	[2024-06-06 23:38:23] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
	[2024-06-06 23:38:23] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
	[2024-06-06 23:38:23] INFO auto_device.py:79: [92mFound[0m device: vulkan:3
	[2024-06-06 23:38:24] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
	[2024-06-06 23:38:24] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-06-06 23:38:24] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-0.5B-Instruct
	[2024-06-06 23:38:24] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
	[2024-06-06 23:38:24] 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 23:38:24] 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 23:38:24] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-06-06 23:38:24] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 23:38:24] 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 23:38:24] 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 GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
	[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-q4f32_1-MLC
	Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	[2024-06-06 22:34:16] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:34:16] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:34:16] 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 22:34:16] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
	[2024-06-06 22:34:16] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-06-06 22:34:16] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-06-06 22:34:16] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
	[2024-06-06 22:34:16] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
	[2024-06-06 22:34:16] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
	[2024-06-06 22:34:16] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
	[2024-06-06 22:34:16] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
	[2024-06-06 22:34:16] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model
	[2024-06-06 22:34:16] 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-q4f32_1-MLC/tokenizer.json[0m
	[2024-06-06 22:34:16] 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-q4f32_1-MLC/vocab.json[0m
	[2024-06-06 22:34:16] 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-q4f32_1-MLC/merges.txt[0m
	[2024-06-06 22:34:16] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json
	[2024-06-06 22:34:16] 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-q4f32_1-MLC/tokenizer_config.json[0m
	[2024-06-06 22:34:16] 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 22:34:16] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-06-06 22:34:16] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-06-06 22:34:16] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-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 q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	[2024-06-06 22:34:17] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:34:18] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-06-06 22:34:18] INFO auto_device.py:79: [92mFound[0m device: cuda:1
	[2024-06-06 22:34:19] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-06-06 22:34:21] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-06-06 22:34:22] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
	[2024-06-06 22:34:22] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
	[2024-06-06 22:34:22] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
	[2024-06-06 22:34:23] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
	[2024-06-06 22:34:23] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-06-06 22:34:23] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct
	[2024-06-06 22:34:23] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
	[2024-06-06 22:34:23] 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 22:34:23] 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 22:34:23] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-06-06 22:34:23] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:34:23] 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 22:34:23] 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 GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
	[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-q4f32_1-MLC
	Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	0%\| \| 0/170 [00:00<?, ?it/s] [2024-06-06 22:34:26] 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 22:34:28] INFO group_quantization.py:217: Compiling quantize function for key: ((151936, 896), float32, cuda, axis=1, output_transpose=False)
	0%\| \| 0/170 [00:01<?, ?it/s] [2024-06-06 22:34:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (151936, 112), dtype: uint32
	0%\| \| 0/170 [00:02<?, ?it/s] [2024-06-06 22:34:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (151936, 28), dtype: float32
	0%\| \| 0/170 [00:02<?, ?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 [00:03<08:28, 3.01s/it] [2024-06-06 22:34:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (896,), dtype: float32
	1%\| \| 1/170 [00:03<08:28, 3.01s/it] [2024-06-06 22:34:29] INFO group_quantization.py:217: Compiling quantize function for key: ((896, 4864), float32, cuda, axis=1, output_transpose=False)
	1%\| \| 1/170 [00:03<08:28, 3.01s/it] [2024-06-06 22:34:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (896, 608), dtype: uint32
	1%\| \| 1/170 [00:03<08:28, 3.01s/it] [2024-06-06 22:34:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (896, 152), dtype: float32
	1%\| \| 1/170 [00:03<08:28, 3.01s/it] 2%\|▏ \| 3/170 [00:03<02:29, 1.11it/s] [2024-06-06 22:34:29] INFO group_quantization.py:217: Compiling quantize function for key: ((9728, 896), float32, cuda, axis=1, output_transpose=False)
	2%\|▏ \| 3/170 [00:03<02:29, 1.11it/s] [2024-06-06 22:34:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (9728, 112), dtype: uint32
	2%\|▏ \| 3/170 [00:03<02:29, 1.11it/s] [2024-06-06 22:34:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (9728, 28), dtype: float32
	2%\|▏ \| 3/170 [00:03<02:29, 1.11it/s] 2%\|▏ \| 4/170 [00:03<01:56, 1.43it/s] [2024-06-06 22:34:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (896,), dtype: float32
	2%\|▏ \| 4/170 [00:03<01:56, 1.43it/s] [2024-06-06 22:34:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.bias[0m", shape: (1152,), dtype: float32
	2%\|▏ \| 4/170 [00:03<01:56, 1.43it/s] [2024-06-06 22:34:30] INFO group_quantization.py:217: Compiling quantize function for key: ((1152, 896), float32, cuda, axis=1, output_transpose=False)
	2%\|▏ \| 4/170 [00:03<01:56, 1.43it/s] [2024-06-06 22:34:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.q_weight[0m", shape: (1152, 112), dtype: uint32
	2%\|▏ \| 4/170 [00:03<01:56, 1.43it/s] [2024-06-06 22:34:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.q_scale[0m", shape: (1152, 28), dtype: float32
	2%\|▏ \| 4/170 [00:03<01:56, 1.43it/s] 4%\|▍ \| 7/170 [00:03<00:56, 2.88it/s] [2024-06-06 22:34:30] INFO group_quantization.py:217: Compiling quantize function for key: ((896, 896), float32, cuda, axis=1, output_transpose=False)
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	[2024-06-06 22:34:31] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
	[2024-06-06 22:34:31] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.504 sec; Pre-quantization mapping: 0.357 sec; Quantization: 2.508 sec
	[2024-06-06 22:34:31] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB
	[2024-06-06 22:34:31] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.288 GB
	[2024-06-06 22:34:31] INFO convert_weight.py:160: [92mTotal parameters[0m: 494,032,768
	[2024-06-06 22:34:31] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.004
	[2024-06-06 22:34:31] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC[0m

	All finished, 8 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC/ndarray-cache.json
	Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC/ndarray-cache-b16.json
	/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	[2024-06-06 22:36:45] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:36:45] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:36:45] 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 22:36:45] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
	[2024-06-06 22:36:45] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-06-06 22:36:45] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-06-06 22:36:45] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
	[2024-06-06 22:36:45] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
	[2024-06-06 22:36:45] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
	[2024-06-06 22:36:45] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
	[2024-06-06 22:36:45] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
	[2024-06-06 22:36:45] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model
	[2024-06-06 22:36:45] 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-q4f32_1-MLC/tokenizer.json[0m
	[2024-06-06 22:36:45] 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-q4f32_1-MLC/vocab.json[0m
	[2024-06-06 22:36:45] 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-q4f32_1-MLC/merges.txt[0m
	[2024-06-06 22:36:45] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json
	[2024-06-06 22:36:45] 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-q4f32_1-MLC/tokenizer_config.json[0m
	[2024-06-06 22:36:45] 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 22:36:45] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-06-06 22:36:45] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-06-06 22:36:45] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-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 q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	[2024-06-06 22:36:47] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
	[2024-06-06 22:36:48] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-06-06 22:36:48] INFO auto_device.py:79: [92mFound[0m device: cuda:1
	[2024-06-06 22:36:49] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-06-06 22:36:50] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-06-06 22:36:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
	[2024-06-06 22:36:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
	[2024-06-06 22:36:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
	[2024-06-06 22:36:52] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
	[2024-06-06 22:36:52] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-06-06 22:36:52] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct
	[2024-06-06 22:36:52] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
	[2024-06-06 22:36:52] 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 22:36:52] 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 22:36:52] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-06-06 22:36:52] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-06-06 22:36:52] 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 22:36:52] 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 GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
	[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-q4f32_1-MLC
	Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC
	0%\| \| 0/170 [00:00<?, ?it/s] [2024-06-06 22:36:55] 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 22:36:56] INFO group_quantization.py:217: Compiling quantize function for key: ((151936, 896), float32, cuda, axis=1, output_transpose=False)
	0%\| \| 0/170 [00:01<?, ?it/s] [2024-06-06 22:36:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (151936, 112), dtype: uint32
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	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)
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	[2024-06-06 22:37:01] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
	[2024-06-06 22:37:01] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.540 sec; Pre-quantization mapping: 0.347 sec; Quantization: 2.454 sec
	[2024-06-06 22:37:01] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB
	[2024-06-06 22:37:01] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.288 GB
	[2024-06-06 22:37:01] INFO convert_weight.py:160: [92mTotal parameters[0m: 494,032,768
	[2024-06-06 22:37:01] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.004
	[2024-06-06 22:37:01] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC[0m

	All finished, 8 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC/ndarray-cache.json
	Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q4f32_1-MLC/ndarray-cache-b16.json