Initial commit

7d2985c verified 7 months ago

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	/home/msyu/workspace/venv/bin/python -m mlc_llm gen_config /tmp/tmpy7oe9l51/repo --quantization q0f32 --conv-template phi-3 --output /tmp/tmptqlm3cdw
	[2024-05-08 13:34:15] INFO auto_config.py:115: [92mFound[0m model configuration: /tmp/tmpy7oe9l51/repo/config.json
	[2024-05-08 13:34:15] INFO auto_config.py:153: [92mFound[0m model type: [1mphi3[0m. Use `--model-type` to override.
	[2024-05-08 13:34:15] INFO phi3_model.py:53: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096)
	[2024-05-08 13:34:15] INFO phi3_model.py:68: [1mprefill_chunk_size[0m defaults to 2048
	[2024-05-08 13:34:15] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80
	[2024-05-08 13:34:15] INFO gen_config.py:255: [generation_config.json] Setting [1mbos_token_id[0m: 1
	[2024-05-08 13:34:15] INFO gen_config.py:255: [generation_config.json] Setting [1meos_token_id[0m: [32000, 32001, 32007]
	[2024-05-08 13:34:15] INFO gen_config.py:255: [generation_config.json] Setting [1mpad_token_id[0m: 32000
	[2024-05-08 13:34:15] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer.model. Copying to [1m/tmp/tmptqlm3cdw/tokenizer.model[0m
	[2024-05-08 13:34:15] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer.json. Copying to [1m/tmp/tmptqlm3cdw/tokenizer.json[0m
	[2024-05-08 13:34:15] INFO gen_config.py:269: [91mNot found[0m tokenizer config: /tmp/tmpy7oe9l51/repo/vocab.json
	[2024-05-08 13:34:15] INFO gen_config.py:269: [91mNot found[0m tokenizer config: /tmp/tmpy7oe9l51/repo/merges.txt
	[2024-05-08 13:34:15] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/added_tokens.json. Copying to [1m/tmp/tmptqlm3cdw/added_tokens.json[0m
	[2024-05-08 13:34:15] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer_config.json. Copying to [1m/tmp/tmptqlm3cdw/tokenizer_config.json[0m
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mtemperature[0m: 0.7
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mrepetition_penalty[0m: 1.0
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mtop_p[0m: 0.95
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mmean_gen_len[0m: 128
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mmax_gen_len[0m: 512
	[2024-05-08 13:34:15] INFO gen_config.py:80: [System default] Setting [1mshift_fill_factor[0m: 0.3
	[2024-05-08 13:34:15] INFO gen_config.py:335: Dumping configuration file to: [1m/tmp/tmptqlm3cdw/mlc-chat-config.json[0m
	/home/msyu/workspace/venv/bin/python -m mlc_llm convert_weight /tmp/tmpy7oe9l51/repo --quantization q0f32 --source-format auto --output /tmp/tmptqlm3cdw
	[2024-05-08 13:34:16] INFO auto_config.py:115: [92mFound[0m model configuration: /tmp/tmpy7oe9l51/repo/config.json
	[2024-05-08 13:34:16] INFO auto_device.py:79: [92mFound[0m device: cuda:0
	[2024-05-08 13:34:17] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
	[2024-05-08 13:34:18] INFO auto_device.py:88: [91mNot found[0m device: metal:0
	[2024-05-08 13:34:18] INFO auto_device.py:88: [91mNot found[0m device: vulkan:0
	[2024-05-08 13:34:19] INFO auto_device.py:79: [92mFound[0m device: opencl:0
	[2024-05-08 13:34:19] INFO auto_device.py:35: Using device: [1mcuda:0[0m
	[2024-05-08 13:34:19] INFO auto_weight.py:70: Finding weights in: /tmp/tmpy7oe9l51/repo
	[2024-05-08 13:34:19] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch
	[2024-05-08 13:34:19] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /tmp/tmpy7oe9l51/repo/model.safetensors.index.json
	[2024-05-08 13:34:19] INFO auto_weight.py:106: Using source weight configuration: [1m/tmp/tmpy7oe9l51/repo/model.safetensors.index.json[0m. Use `--source` to override.
	[2024-05-08 13:34:19] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-05-08 13:34:19] INFO auto_config.py:153: [92mFound[0m model type: [1mphi3[0m. Use `--model-type` to override.
	[2024-05-08 13:34:19] INFO phi3_model.py:53: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096)
	[2024-05-08 13:34:19] INFO phi3_model.py:68: [1mprefill_chunk_size[0m defaults to 2048
	[1mWeight conversion with arguments:[0m
	[1m--config[0m /tmp/tmpy7oe9l51/repo/config.json
	[1m--quantization[0m NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32')
	[1m--model-type[0m phi3
	[1m--device[0m cuda:0
	[1m--source[0m /tmp/tmpy7oe9l51/repo/model.safetensors.index.json
	[1m--source-format[0m huggingface-safetensor
	[1m--output[0m /tmp/tmptqlm3cdw
	Start storing to cache /tmp/tmptqlm3cdw
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	0%\| \| 0/195 [00:01<?, ?it/s]/home/msyu/workspace/venv/lib/python3.10/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/msyu/workspace/venv/lib/python3.10/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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	98%\|█████████▊\| 192/195 [00:40<00:00, 4.37it/s] 100%\|██████████\| 195/195 [00:40<00:00, 5.49it/s] 100%\|██████████\| 195/195 [00:41<00:00, 4.76it/s]
	[2024-05-08 13:35:01] INFO huggingface_loader.py:196: Unloading HF weight file: /tmp/tmpy7oe9l51/repo/model-00001-of-00002.safetensors
	[2024-05-08 13:35:01] INFO stats.py:76: [92mTime usage[0m: HF loading: 1.642 sec; Pre-quantization mapping: 2.009 sec; Quantization: 0.000 sec
	[2024-05-08 13:35:01] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB
	[2024-05-08 13:35:01] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 14.235 GB
	[2024-05-08 13:35:01] INFO convert_weight.py:160: [92mTotal parameters[0m: 3,821,079,552
	[2024-05-08 13:35:01] INFO convert_weight.py:161: [92mBits per parameter[0m: 32.000
	[2024-05-08 13:35:01] INFO convert_weight.py:166: Saved to directory: [1m/tmp/tmptqlm3cdw[0m

	All finished, 130 total shards committed, record saved to /tmp/tmptqlm3cdw/ndarray-cache.json
	Also saved a bf16 record to /tmp/tmptqlm3cdw/ndarray-cache-b16.json