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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-7B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC |
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[2024-06-06 23:44:36] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-7B-Instruct/config.json |
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[2024-06-06 23:44:36] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 23:44:36] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 23:44:36] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-06-06 23:44:36] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-06-06 23:44:36] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643 |
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[2024-06-06 23:44:36] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643 |
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[2024-06-06 23:44:36] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643] |
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[2024-06-06 23:44:36] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.05 |
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[2024-06-06 23:44:36] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7 |
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[2024-06-06 23:44:36] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8 |
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[2024-06-06 23:44:36] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-7B-Instruct/tokenizer.model |
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[2024-06-06 23:44:36] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-7B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC/tokenizer.json[0m |
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[2024-06-06 23:44:36] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-7B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC/vocab.json[0m |
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[2024-06-06 23:44:36] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-7B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC/merges.txt[0m |
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[2024-06-06 23:44:36] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-7B-Instruct/added_tokens.json |
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[2024-06-06 23:44:36] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-7B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC/tokenizer_config.json[0m |
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[2024-06-06 23:44:36] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} |
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[2024-06-06 23:44:36] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-06-06 23:44:36] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC/mlc-chat-config.json[0m |
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-7B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC |
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[2024-06-06 23:44:38] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-7B-Instruct/config.json |
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[2024-06-06 23:44:39] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
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[2024-06-06 23:44:45] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-06-06 23:44:45] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-7B-Instruct |
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[2024-06-06 23:44:45] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-06 23:44:45] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-7B-Instruct/model.safetensors.index.json |
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[2024-06-06 23:44:45] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen2-7B-Instruct/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-06 23:44:45] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-06 23:44:45] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. |
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[2024-06-06 23:44:45] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 23:44:45] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /models/Qwen2-7B-Instruct/config.json |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
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[1m--model-type[0m qwen2 |
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[1m--device[0m cuda:0 |
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[1m--source[0m /models/Qwen2-7B-Instruct/model.safetensors.index.json |
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[1m--source-format[0m huggingface-safetensor |
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC |
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[2024-06-06 23:45:19] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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22%|βββ | 44/199 [00:32<03:20, 1.29s/it]
24%|βββ | 47/199 [00:32<01:52, 1.35it/s]
[2024-06-06 23:45:19] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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24%|βββ | 47/199 [00:32<01:52, 1.35it/s]
24%|βββ | 48/199 [00:32<01:35, 1.58it/s]
[2024-06-06 23:45:19] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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24%|βββ | 48/199 [00:32<01:35, 1.58it/s]
[2024-06-06 23:45:19] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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24%|βββ | 48/199 [00:32<01:35, 1.58it/s]
25%|βββ | 50/199 [00:33<01:18, 1.90it/s]
[2024-06-06 23:45:20] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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25%|βββ | 50/199 [00:33<01:18, 1.90it/s]
26%|βββ | 51/199 [00:34<01:41, 1.46it/s]
[2024-06-06 23:45:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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26%|βββ | 51/199 [00:34<01:41, 1.46it/s]
[2024-06-06 23:45:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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26%|βββ | 51/199 [00:34<01:41, 1.46it/s]
[2024-06-06 23:45:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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26%|βββ | 51/199 [00:34<01:41, 1.46it/s]
27%|βββ | 54/199 [00:34<00:57, 2.50it/s]
[2024-06-06 23:45:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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27%|βββ | 54/199 [00:34<00:57, 2.50it/s]
28%|βββ | 55/199 [00:34<00:49, 2.88it/s]
[2024-06-06 23:45:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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28%|βββ | 55/199 [00:34<00:49, 2.88it/s]
[2024-06-06 23:45:22] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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28%|βββ | 55/199 [00:35<00:49, 2.88it/s]
29%|βββ | 57/199 [00:35<00:47, 3.01it/s]
[2024-06-06 23:45:22] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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29%|βββ | 57/199 [00:36<00:47, 3.01it/s]
29%|βββ | 58/199 [00:36<01:12, 1.94it/s]
[2024-06-06 23:45:23] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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29%|βββ | 58/199 [00:36<01:12, 1.94it/s]
[2024-06-06 23:45:23] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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29%|βββ | 58/199 [00:36<01:12, 1.94it/s]
[2024-06-06 23:45:23] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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29%|βββ | 58/199 [00:36<01:12, 1.94it/s]
31%|βββ | 61/199 [00:36<00:42, 3.27it/s]
[2024-06-06 23:45:23] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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31%|βββ | 61/199 [00:37<00:42, 3.27it/s]
31%|βββ | 62/199 [00:37<00:37, 3.70it/s]
[2024-06-06 23:45:23] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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31%|βββ | 62/199 [00:37<00:37, 3.70it/s]
[2024-06-06 23:45:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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31%|βββ | 62/199 [00:37<00:37, 3.70it/s]
32%|ββββ | 64/199 [00:37<00:38, 3.53it/s]
[2024-06-06 23:45:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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32%|ββββ | 64/199 [00:38<00:38, 3.53it/s]
33%|ββββ | 65/199 [00:39<01:11, 1.87it/s]
[2024-06-06 23:45:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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33%|ββββ | 65/199 [00:39<01:11, 1.87it/s]
[2024-06-06 23:45:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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33%|ββββ | 65/199 [00:39<01:11, 1.87it/s]
[2024-06-06 23:45:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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33%|ββββ | 65/199 [00:39<01:11, 1.87it/s]
34%|ββββ | 68/199 [00:39<00:41, 3.16it/s]
[2024-06-06 23:45:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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34%|ββββ | 68/199 [00:39<00:41, 3.16it/s]
35%|ββββ | 69/199 [00:39<00:36, 3.59it/s]
[2024-06-06 23:45:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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35%|ββββ | 69/199 [00:39<00:36, 3.59it/s]
[2024-06-06 23:45:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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35%|ββββ | 69/199 [00:39<00:36, 3.59it/s]
36%|ββββ | 71/199 [00:40<00:37, 3.45it/s]
[2024-06-06 23:45:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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36%|ββββ | 71/199 [00:41<00:37, 3.45it/s]
36%|ββββ | 72/199 [00:42<01:29, 1.42it/s]
[2024-06-06 23:45:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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36%|ββββ | 72/199 [00:42<01:29, 1.42it/s]
[2024-06-06 23:45:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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36%|ββββ | 72/199 [00:42<01:29, 1.42it/s]
[2024-06-06 23:45:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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36%|ββββ | 72/199 [00:42<01:29, 1.42it/s]
38%|ββββ | 75/199 [00:42<00:50, 2.44it/s]
[2024-06-06 23:45:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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38%|ββββ | 75/199 [00:42<00:50, 2.44it/s]
38%|ββββ | 76/199 [00:42<00:43, 2.81it/s]
[2024-06-06 23:45:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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38%|ββββ | 76/199 [00:42<00:43, 2.81it/s]
[2024-06-06 23:45:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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38%|ββββ | 76/199 [00:43<00:43, 2.81it/s]
39%|ββββ | 78/199 [00:43<00:40, 2.95it/s]
[2024-06-06 23:45:32] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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39%|ββββ | 78/199 [00:45<00:40, 2.95it/s]
40%|ββββ | 79/199 [00:45<01:29, 1.34it/s]
[2024-06-06 23:45:32] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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40%|ββββ | 79/199 [00:45<01:29, 1.34it/s]
[2024-06-06 23:45:32] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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40%|ββββ | 79/199 [00:45<01:29, 1.34it/s]
[2024-06-06 23:45:32] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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40%|ββββ | 79/199 [00:46<01:29, 1.34it/s]
41%|ββββ | 82/199 [00:46<00:50, 2.30it/s]
[2024-06-06 23:45:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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41%|ββββ | 82/199 [00:46<00:50, 2.30it/s]
42%|βββββ | 83/199 [00:46<00:43, 2.66it/s]
[2024-06-06 23:45:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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42%|βββββ | 83/199 [00:46<00:43, 2.66it/s]
[2024-06-06 23:45:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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42%|βββββ | 83/199 [00:46<00:43, 2.66it/s]
43%|βββββ | 85/199 [00:46<00:31, 3.65it/s]
[2024-06-06 23:45:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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43%|βββββ | 85/199 [00:46<00:31, 3.65it/s]
[2024-06-06 23:45:33] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen2-7B-Instruct/model-00001-of-00004.safetensors |
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43%|βββββ | 85/199 [00:46<00:31, 3.65it/s]
[2024-06-06 23:45:33] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Qwen2-7B-Instruct/model-00002-of-00004.safetensors |
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43%|βββββ | 85/199 [00:46<00:31, 3.65it/s]
[2024-06-06 23:45:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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43%|βββββ | 85/199 [00:50<00:31, 3.65it/s]
44%|βββββ | 87/199 [00:50<01:40, 1.12it/s]
[2024-06-06 23:45:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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44%|βββββ | 87/199 [00:50<01:40, 1.12it/s]
44%|βββββ | 88/199 [00:51<01:33, 1.19it/s]
[2024-06-06 23:45:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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44%|βββββ | 88/199 [00:52<01:33, 1.19it/s]
45%|βββββ | 89/199 [00:53<01:55, 1.05s/it]
[2024-06-06 23:45:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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45%|βββββ | 89/199 [00:53<01:55, 1.05s/it]
[2024-06-06 23:45:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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45%|βββββ | 89/199 [00:53<01:55, 1.05s/it]
[2024-06-06 23:45:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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45%|βββββ | 89/199 [00:53<01:55, 1.05s/it]
46%|βββββ | 92/199 [00:53<01:01, 1.73it/s]
[2024-06-06 23:45:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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46%|βββββ | 92/199 [00:53<01:01, 1.73it/s]
47%|βββββ | 93/199 [00:53<00:51, 2.05it/s]
[2024-06-06 23:45:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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47%|βββββ | 93/199 [00:53<00:51, 2.05it/s]
[2024-06-06 23:45:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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47%|βββββ | 93/199 [00:53<00:51, 2.05it/s]
48%|βββββ | 95/199 [00:54<00:44, 2.35it/s]
[2024-06-06 23:45:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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48%|βββββ | 95/199 [00:54<00:44, 2.35it/s]
48%|βββββ | 96/199 [00:55<01:02, 1.65it/s]
[2024-06-06 23:45:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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48%|βββββ | 96/199 [00:55<01:02, 1.65it/s]
[2024-06-06 23:45:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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48%|βββββ | 96/199 [00:55<01:02, 1.65it/s]
[2024-06-06 23:45:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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48%|βββββ | 96/199 [00:55<01:02, 1.65it/s]
50%|βββββ | 99/199 [00:55<00:35, 2.83it/s]
[2024-06-06 23:45:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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50%|βββββ | 99/199 [00:55<00:35, 2.83it/s]
50%|βββββ | 100/199 [00:55<00:30, 3.24it/s]
[2024-06-06 23:45:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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50%|βββββ | 100/199 [00:55<00:30, 3.24it/s]
[2024-06-06 23:45:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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50%|βββββ | 100/199 [00:55<00:30, 3.24it/s]
51%|ββββββ | 102/199 [00:56<00:29, 3.24it/s]
[2024-06-06 23:45:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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52%|ββββββ | 103/199 [00:57<00:50, 1.91it/s]
[2024-06-06 23:45:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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52%|ββββββ | 103/199 [00:57<00:50, 1.91it/s]
[2024-06-06 23:45:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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[2024-06-06 23:45:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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52%|ββββββ | 103/199 [00:57<00:50, 1.91it/s]
53%|ββββββ | 106/199 [00:57<00:28, 3.22it/s]
[2024-06-06 23:45:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.weight[0m", shape: (3584, 3584), dtype: float16 |
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53%|ββββββ | 106/199 [00:57<00:28, 3.22it/s]
54%|ββββββ | 107/199 [00:57<00:25, 3.65it/s]
[2024-06-06 23:45:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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54%|ββββββ | 107/199 [00:57<00:25, 3.65it/s]
[2024-06-06 23:45:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.weight[0m", shape: (3584, 18944), dtype: float16 |
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54%|ββββββ | 107/199 [00:58<00:25, 3.65it/s]
55%|ββββββ | 109/199 [00:58<00:25, 3.52it/s]
[2024-06-06 23:45:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.weight[0m", shape: (37888, 3584), dtype: float16 |
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55%|ββββββ | 109/199 [01:00<00:25, 3.52it/s]
55%|ββββββ | 110/199 [01:00<01:02, 1.42it/s]
[2024-06-06 23:45:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (3584,), dtype: float16 |
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55%|ββββββ | 110/199 [01:00<01:02, 1.42it/s]
[2024-06-06 23:45:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.bias[0m", shape: (4608,), dtype: float16 |
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[2024-06-06 23:45:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.weight[0m", shape: (4608, 3584), dtype: float16 |
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57%|ββββββ | 113/199 [01:01<00:35, 2.44it/s]
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[2024-06-06 23:45:48] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Qwen2-7B-Instruct/model-00003-of-00004.safetensors |
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[2024-06-06 23:46:30] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen2-7B-Instruct/model-00002-of-00004.safetensors |
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[2024-06-06 23:46:30] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen2-7B-Instruct/model-00003-of-00004.safetensors |
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[2024-06-06 23:46:31] INFO stats.py:77: [92mTime usage[0m: HF loading: 16.631 sec; Pre-quantization mapping: 44.010 sec; Quantization: 0.000 sec |
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[2024-06-06 23:46:31] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 14.397 GB. Total bytes loaded from disk: 28.370 GB |
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[2024-06-06 23:46:31] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 14.185 GB |
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[2024-06-06 23:46:31] INFO convert_weight.py:160: [92mTotal parameters[0m: 7,615,616,512 |
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[2024-06-06 23:46:31] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000 |
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[2024-06-06 23:46:31] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC[0m |
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All finished, 114 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-7B-Instruct-q0f16-MLC/ndarray-cache.json |
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