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/home/msyu/workspace/venv/bin/python -m mlc_llm gen_config /tmp/tmpy7oe9l51/repo --quantization q0f16 --conv-template phi-3 --output /tmp/tmpg82xy6xr |
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[2024-05-08 13:36:57] INFO auto_config.py:115: [92mFound[0m model configuration: /tmp/tmpy7oe9l51/repo/config.json |
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[2024-05-08 13:36:57] INFO auto_config.py:153: [92mFound[0m model type: [1mphi3[0m. Use `--model-type` to override. |
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[2024-05-08 13:36:57] INFO phi3_model.py:53: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096) |
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[2024-05-08 13:36:57] INFO phi3_model.py:68: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-05-08 13:36:57] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-05-08 13:36:57] INFO gen_config.py:255: [generation_config.json] Setting [1mbos_token_id[0m: 1 |
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[2024-05-08 13:36:57] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer.json. Copying to [1m/tmp/tmpg82xy6xr/tokenizer.json[0m |
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[2024-05-08 13:36:57] INFO gen_config.py:269: [91mNot found[0m tokenizer config: /tmp/tmpy7oe9l51/repo/vocab.json |
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[2024-05-08 13:36:57] INFO gen_config.py:269: [91mNot found[0m tokenizer config: /tmp/tmpy7oe9l51/repo/merges.txt |
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[2024-05-08 13:36:57] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/added_tokens.json. Copying to [1m/tmp/tmpg82xy6xr/added_tokens.json[0m |
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[2024-05-08 13:36:57] INFO gen_config.py:267: [92mFound[0m tokenizer config: /tmp/tmpy7oe9l51/repo/tokenizer_config.json. Copying to [1m/tmp/tmpg82xy6xr/tokenizer_config.json[0m |
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[2024-05-08 13:36:57] INFO gen_config.py:80: [System default] Setting [1mtemperature[0m: 0.7 |
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[2024-05-08 13:36:57] INFO gen_config.py:80: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-05-08 13:36:57] INFO gen_config.py:80: [System default] Setting [1mmean_gen_len[0m: 128 |
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[2024-05-08 13:36:57] INFO gen_config.py:80: [System default] Setting [1mmax_gen_len[0m: 512 |
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[2024-05-08 13:36:57] INFO gen_config.py:80: [System default] Setting [1mshift_fill_factor[0m: 0.3 |
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[2024-05-08 13:36:57] INFO gen_config.py:335: Dumping configuration file to: [1m/tmp/tmpg82xy6xr/mlc-chat-config.json[0m |
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/home/msyu/workspace/venv/bin/python -m mlc_llm convert_weight /tmp/tmpy7oe9l51/repo --quantization q0f16 --source-format auto --output /tmp/tmpg82xy6xr |
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[2024-05-08 13:36:58] INFO auto_config.py:115: [92mFound[0m model configuration: /tmp/tmpy7oe9l51/repo/config.json |
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[2024-05-08 13:36:59] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
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[2024-05-08 13:37:01] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-05-08 13:37:01] INFO auto_weight.py:70: Finding weights in: /tmp/tmpy7oe9l51/repo |
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[2024-05-08 13:37:01] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch |
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[2024-05-08 13:37:01] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /tmp/tmpy7oe9l51/repo/model.safetensors.index.json |
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[2024-05-08 13:37:01] INFO auto_weight.py:106: Using source weight configuration: [1m/tmp/tmpy7oe9l51/repo/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-05-08 13:37:01] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-05-08 13:37:01] INFO phi3_model.py:68: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
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[2024-05-08 13:37:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.8.post_attention_layernorm.weight[0m", shape: (3072,), dtype: float16 |
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[2024-05-08 13:37:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.8.mixer.qkv_proj.weight[0m", shape: (9216, 3072), dtype: float16 |
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[2024-05-08 13:37:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.9.ln.weight[0m", shape: (3072,), dtype: float16 |
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[2024-05-08 13:37:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.9.mlp.down_proj.weight[0m", shape: (3072, 8192), dtype: float16 |
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[2024-05-08 13:37:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.9.mlp.gate_up_proj.weight[0m", shape: (16384, 3072), dtype: float16 |
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[2024-05-08 13:37:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.9.post_attention_layernorm.weight[0m", shape: (3072,), dtype: float16 |
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100%|ββββββββββ| 195/195 [00:22<00:00, 9.30it/s]
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[2024-05-08 13:37:25] INFO huggingface_loader.py:196: Unloading HF weight file: /tmp/tmpy7oe9l51/repo/model-00001-of-00002.safetensors |
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[2024-05-08 13:37:25] INFO stats.py:76: [92mTime usage[0m: HF loading: 1.450 sec; Pre-quantization mapping: 5.723 sec; Quantization: 0.000 sec |
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[2024-05-08 13:37:25] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB |
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[2024-05-08 13:37:25] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 7.117 GB |
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[2024-05-08 13:37:25] INFO convert_weight.py:160: [92mTotal parameters[0m: 3,821,079,552 |
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[2024-05-08 13:37:25] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000 |
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[2024-05-08 13:37:25] INFO convert_weight.py:166: Saved to directory: [1m/tmp/tmpg82xy6xr[0m |
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All finished, 130 total shards committed, record saved to /tmp/tmpg82xy6xr/ndarray-cache.json |
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