/home/msyu/workspace/venv/bin/python -m mlc_llm gen_config /tmp/tmpy7oe9l51/repo --quantization q4f16_1 --conv-template phi-3 --output /tmp/tmpn5doeem_
[2024-05-08 13:39:03] INFO auto_config.py:115: Found model configuration: /tmp/tmpy7oe9l51/repo/config.json
[2024-05-08 13:39:03] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-08 13:39:03] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-08 13:39:03] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
[2024-05-08 13:39:03] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-08 13:39:03] INFO gen_config.py:255: [generation_config.json] Setting bos_token_id: 1
[2024-05-08 13:39:03] INFO gen_config.py:255: [generation_config.json] Setting eos_token_id: [32000, 32001, 32007]
[2024-05-08 13:39:03] INFO gen_config.py:255: [generation_config.json] Setting pad_token_id: 32000
[2024-05-08 13:39:03] INFO gen_config.py:267: Found tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer.model. Copying to /tmp/tmpn5doeem_/tokenizer.model
[2024-05-08 13:39:03] INFO gen_config.py:267: Found tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer.json. Copying to /tmp/tmpn5doeem_/tokenizer.json
[2024-05-08 13:39:03] INFO gen_config.py:269: Not found tokenizer config: /tmp/tmpy7oe9l51/repo/vocab.json
[2024-05-08 13:39:03] INFO gen_config.py:269: Not found tokenizer config: /tmp/tmpy7oe9l51/repo/merges.txt
[2024-05-08 13:39:03] INFO gen_config.py:267: Found tokenizer config: /tmp/tmpy7oe9l51/repo/added_tokens.json. Copying to /tmp/tmpn5doeem_/added_tokens.json
[2024-05-08 13:39:03] INFO gen_config.py:267: Found tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer_config.json. Copying to /tmp/tmpn5doeem_/tokenizer_config.json
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting temperature: 0.7
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting presence_penalty: 0.0
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting frequency_penalty: 0.0
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting repetition_penalty: 1.0
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting top_p: 0.95
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting mean_gen_len: 128
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting max_gen_len: 512
[2024-05-08 13:39:03] INFO gen_config.py:80: [System default] Setting shift_fill_factor: 0.3
[2024-05-08 13:39:03] INFO gen_config.py:335: Dumping configuration file to: /tmp/tmpn5doeem_/mlc-chat-config.json
/home/msyu/workspace/venv/bin/python -m mlc_llm convert_weight /tmp/tmpy7oe9l51/repo --quantization q4f16_1 --source-format auto --output /tmp/tmpn5doeem_
[2024-05-08 13:39:03] INFO auto_config.py:115: Found model configuration: /tmp/tmpy7oe9l51/repo/config.json
[2024-05-08 13:39:04] INFO auto_device.py:79: Found device: cuda:0
[2024-05-08 13:39:05] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-08 13:39:05] INFO auto_device.py:88: Not found device: metal:0
[2024-05-08 13:39:06] INFO auto_device.py:88: Not found device: vulkan:0
[2024-05-08 13:39:07] INFO auto_device.py:79: Found device: opencl:0
[2024-05-08 13:39:07] INFO auto_device.py:35: Using device: cuda:0
[2024-05-08 13:39:07] INFO auto_weight.py:70: Finding weights in: /tmp/tmpy7oe9l51/repo
[2024-05-08 13:39:07] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-08 13:39:07] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: /tmp/tmpy7oe9l51/repo/model.safetensors.index.json
[2024-05-08 13:39:07] INFO auto_weight.py:106: Using source weight configuration: /tmp/tmpy7oe9l51/repo/model.safetensors.index.json. Use `--source` to override.
[2024-05-08 13:39:07] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-08 13:39:07] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-08 13:39:07] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-08 13:39:07] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
  --config          /tmp/tmpy7oe9l51/repo/config.json
  --quantization    GroupQuantize(name='q4f16_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float16', 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)
  --model-type      phi3
  --device          cuda:0
  --source          /tmp/tmpy7oe9l51/repo/model.safetensors.index.json
  --source-format   huggingface-safetensor
  --output          /tmp/tmpn5doeem_
Start storing to cache /tmp/tmpn5doeem_

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[2024-05-08 13:39:09] INFO huggingface_loader.py:184: Loading HF parameters from: /tmp/tmpy7oe9l51/repo/model-00002-of-00002.safetensors

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[2024-05-08 13:39:10] INFO group_quantization.py:217: Compiling quantize function for key: ((32064, 3072), float16, cuda, axis=1, output_transpose=False)

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[2024-05-08 13:39:10] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_weight", shape: (32064, 384), dtype: uint32

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[2024-05-08 13:39:11] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.21.mlp.down_proj.q_weight", shape: (3072, 1024), dtype: uint32

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[2024-05-08 13:39:22] INFO huggingface_loader.py:196: Unloading HF weight file: /tmp/tmpy7oe9l51/repo/model-00001-of-00002.safetensors
[2024-05-08 13:39:22] INFO stats.py:76: Time usage: HF loading: 1.440 sec; Pre-quantization mapping: 5.575 sec; Quantization: 1.683 sec
[2024-05-08 13:39:22] INFO stats.py:90: RAM usage: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB
[2024-05-08 13:39:22] INFO convert_weight.py:155: Parameter size after quantization: 2.002 GB
[2024-05-08 13:39:22] INFO convert_weight.py:160: Total parameters: 3,821,079,552
[2024-05-08 13:39:22] INFO convert_weight.py:161: Bits per parameter: 4.501
[2024-05-08 13:39:22] INFO convert_weight.py:166: Saved to directory: /tmp/tmpn5doeem_

All finished, 83 total shards committed, record saved to /tmp/tmpn5doeem_/ndarray-cache.json