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/home/ruihang/Workspace/miniconda3/envs/python311/bin/python -m mlc_llm gen_config /models/Llama-2-7b-chat-hf --quantization q0f16 --conv-template llama-2 --output /tmp/tmp8ew5r2yr |
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[2024-05-22 00:30:05] INFO gen_config.py:255: [generation_config.json] Setting [1mbos_token_id[0m: 1 |
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[2024-05-22 00:30:05] INFO gen_config.py:267: [92mFound[0m tokenizer config: /models/Llama-2-7b-chat-hf/tokenizer.json. Copying to [1m/tmp/tmp8ew5r2yr/tokenizer.json[0m |
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[2024-05-22 00:30:05] INFO gen_config.py:269: [91mNot found[0m tokenizer config: /models/Llama-2-7b-chat-hf/vocab.json |
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[2024-05-22 00:30:05] INFO gen_config.py:80: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-05-22 00:30:05] INFO gen_config.py:80: [System default] Setting [1mmean_gen_len[0m: 128 |
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/home/ruihang/Workspace/miniconda3/envs/python311/bin/python -m mlc_llm convert_weight /models/Llama-2-7b-chat-hf --quantization q0f16 --source-format auto --output /tmp/tmp8ew5r2yr |
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[2024-05-22 00:30:06] INFO auto_config.py:115: [92mFound[0m model configuration: /models/Llama-2-7b-chat-hf/config.json |
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[2024-05-22 00:30:10] INFO auto_weight.py:70: Finding weights in: /models/Llama-2-7b-chat-hf |
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[2024-05-22 00:30:10] INFO auto_weight.py:120: [92mFound[0m source weight format: huggingface-torch. Source configuration: /models/Llama-2-7b-chat-hf/pytorch_model.bin.index.json |
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[2024-05-22 00:30:10] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Llama-2-7b-chat-hf/model.safetensors.index.json |
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[2024-05-22 00:30:10] INFO auto_weight.py:106: Using source weight configuration: [1m/models/Llama-2-7b-chat-hf/pytorch_model.bin.index.json[0m. Use `--source` to override. |
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[2024-05-22 00:30:10] INFO llama_model.py:72: [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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[2024-05-22 00:30:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.weight[0m", shape: (12288, 4096), dtype: float16 |
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25%|βββ | 48/195 [00:21<00:35, 4.11it/s]
[2024-05-22 00:30:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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25%|βββ | 49/195 [00:21<00:31, 4.70it/s]
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[2024-05-22 00:30:32] INFO huggingface_loader.py:196: Unloading HF weight file: /models/Llama-2-7b-chat-hf/pytorch_model-00002-of-00002.bin |
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[2024-05-22 00:30:32] INFO huggingface_loader.py:184: Loading HF parameters from: /models/Llama-2-7b-chat-hf/pytorch_model-00001-of-00002.bin |
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26%|βββ | 51/195 [00:58<17:18, 7.21s/it]
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27%|βββ | 53/195 [00:59<11:13, 4.74s/it]
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28%|βββ | 54/195 [01:00<09:23, 4.00s/it]
[2024-05-22 00:31:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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29%|βββ | 56/195 [01:00<06:03, 2.61s/it]
[2024-05-22 00:31:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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29%|βββ | 57/195 [01:00<04:50, 2.10s/it]
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30%|βββ | 59/195 [01:01<03:07, 1.38s/it]
[2024-05-22 00:31:12] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.weight[0m", shape: (22016, 4096), dtype: float16 |
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31%|βββ | 60/195 [01:01<02:47, 1.24s/it]
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[2024-05-22 00:31:13] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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32%|ββββ | 63/195 [01:02<01:31, 1.44it/s]
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[2024-05-22 00:31:14] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.weight[0m", shape: (22016, 4096), dtype: float16 |
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[2024-05-22 00:31:14] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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[2024-05-22 00:31:14] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.weight[0m", shape: (12288, 4096), dtype: float16 |
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35%|ββββ | 68/195 [01:03<00:48, 2.61it/s]
[2024-05-22 00:31:14] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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[2024-05-22 00:31:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.weight[0m", shape: (22016, 4096), dtype: float16 |
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[2024-05-22 00:31:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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[2024-05-22 00:31:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.weight[0m", shape: (12288, 4096), dtype: float16 |
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[2024-05-22 00:31:16] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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[2024-05-22 00:31:16] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.weight[0m", shape: (22016, 4096), dtype: float16 |
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[2024-05-22 00:31:16] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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[2024-05-22 00:31:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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[2024-05-22 00:31:18] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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[2024-05-22 00:31:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.weight[0m", shape: (12288, 4096), dtype: float16 |
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[2024-05-22 00:31:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.weight[0m", shape: (4096, 4096), dtype: float16 |
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[2024-05-22 00:31:22] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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[2024-05-22 00:31:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
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[2024-05-22 00:31:37] INFO huggingface_loader.py:196: Unloading HF weight file: /models/Llama-2-7b-chat-hf/pytorch_model-00001-of-00002.bin |
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[2024-05-22 00:31:38] INFO stats.py:76: [92mTime usage[0m: HF loading: 44.115 sec; Pre-quantization mapping: 7.475 sec; Quantization: 0.000 sec |
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[2024-05-22 00:31:38] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 9.291 GB. Total bytes loaded from disk: 12.551 GB |
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[2024-05-22 00:31:38] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 12.551 GB |
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[2024-05-22 00:31:38] INFO convert_weight.py:160: [92mTotal parameters[0m: 6,738,415,616 |
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[2024-05-22 00:31:38] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000 |
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[2024-05-22 00:31:38] INFO convert_weight.py:166: Saved to directory: [1m/tmp/tmp8ew5r2yr[0m |
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All finished, 131 total shards committed, record saved to /tmp/tmp8ew5r2yr/ndarray-cache.json |
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