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OpenBMB / MiniCPM

MiniCPM-2B: An end-side LLM outperforming Llama2-13B.
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[Bug]: 安卓手机部署，convert_weight 报错 ValueError #86

Closed zjloong closed 5 months ago

zjloong commented 5 months ago

Is there an existing issue ? / 是否已有相关的 issue ?

Describe the bug / 描述这个 bug

Traceback (most recent call last): File "/Users/zhujinlong/miniconda3/envs/mini-cpm-env/bin/mlc_chat", line 33, in sys.exit(load_entry_point('mlc-chat', 'console_scripts', 'mlc_chat')()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/zhujinlong/Develop/Project/LLM/mlc-MiniCPM/python/mlc_chat/main.py", line 28, in main cli.main(sys.argv[2:]) File "/Users/zhujinlong/Develop/Project/LLM/mlc-MiniCPM/python/mlc_chat/cli/convert_weight.py", line 87, in main convert_weight( File "/Users/zhujinlong/Develop/Project/LLM/mlc-MiniCPM/python/mlc_chat/interface/convert_weight.py", line 156, in convert_weight _convert_args(args) File "/Users/zhujinlong/Develop/Project/LLM/mlc-MiniCPM/python/mlc_chat/interface/convert_weight.py", line 107, in _convert_args for name, param in LOADER[args.source_format]( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/zhujinlong/Develop/Project/LLM/mlc-MiniCPM/python/mlc_chat/loader/huggingface_loader.py", line 97, in init check_parameter_usage(extern_param_map, set(self.torch_to_path.keys())) File "/Users/zhujinlong/Develop/Project/LLM/mlc-MiniCPM/python/mlc_chat/loader/utils.py", line 32, in check_parameter_usage raise ValueError( ValueError: The following extern parameters do not exist in the weight files: model.layers.0.mlp.down_proj.weight model.layers.0.mlp.gate_proj.weight model.layers.0.mlp.up_proj.weight model.layers.0.self_attn.k_proj.weight model.layers.0.self_attn.o_proj.weight model.layers.0.self_attn.q_proj.weight model.layers.0.self_attn.v_proj.weight model.layers.1.mlp.down_proj.weight model.layers.1.mlp.gate_proj.weight model.layers.1.mlp.up_proj.weight model.layers.1.self_attn.k_proj.weight model.layers.1.self_attn.o_proj.weight model.layers.1.self_attn.q_proj.weight model.layers.1.self_attn.v_proj.weight model.layers.10.mlp.down_proj.weight model.layers.10.mlp.gate_proj.weight model.layers.10.mlp.up_proj.weight model.layers.10.self_attn.k_proj.weight model.layers.10.self_attn.o_proj.weight model.layers.10.self_attn.q_proj.weight model.layers.10.self_attn.v_proj.weight model.layers.11.mlp.down_proj.weight model.layers.11.mlp.gate_proj.weight model.layers.11.mlp.up_proj.weight model.layers.11.self_attn.k_proj.weight model.layers.11.self_attn.o_proj.weight model.layers.11.self_attn.q_proj.weight model.layers.11.self_attn.v_proj.weight model.layers.12.mlp.down_proj.weight model.layers.12.mlp.gate_proj.weight model.layers.12.mlp.up_proj.weight model.layers.12.self_attn.k_proj.weight model.layers.12.self_attn.o_proj.weight model.layers.12.self_attn.q_proj.weight model.layers.12.self_attn.v_proj.weight model.layers.13.mlp.down_proj.weight model.layers.13.mlp.gate_proj.weight model.layers.13.mlp.up_proj.weight model.layers.13.self_attn.k_proj.weight model.layers.13.self_attn.o_proj.weight model.layers.13.self_attn.q_proj.weight model.layers.13.self_attn.v_proj.weight model.layers.14.mlp.down_proj.weight model.layers.14.mlp.gate_proj.weight model.layers.14.mlp.up_proj.weight model.layers.14.self_attn.k_proj.weight model.layers.14.self_attn.o_proj.weight model.layers.14.self_attn.q_proj.weight model.layers.14.self_attn.v_proj.weight model.layers.15.mlp.down_proj.weight model.layers.15.mlp.gate_proj.weight model.layers.15.mlp.up_proj.weight model.layers.15.self_attn.k_proj.weight model.layers.15.self_attn.o_proj.weight model.layers.15.self_attn.q_proj.weight model.layers.15.self_attn.v_proj.weight model.layers.16.mlp.down_proj.weight model.layers.16.mlp.gate_proj.weight model.layers.16.mlp.up_proj.weight model.layers.16.self_attn.k_proj.weight model.layers.16.self_attn.o_proj.weight model.layers.16.self_attn.q_proj.weight model.layers.16.self_attn.v_proj.weight model.layers.17.mlp.down_proj.weight model.layers.17.mlp.gate_proj.weight model.layers.17.mlp.up_proj.weight model.layers.17.self_attn.k_proj.weight model.layers.17.self_attn.o_proj.weight model.layers.17.self_attn.q_proj.weight 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To Reproduce / 如何复现

mlc_chat convert_weight --model-type minicpm ./dist/models/MiniCPM-2B-sft-int4/ --quantization q4f16_1 -o dist/MiniCPM-2B-sft-int4/

Expected behavior / 期望的结果

No response

Screenshots / 截图

No response

Environment / 环境

- OS: [e.g. Ubuntu 20.04]
- Pytorch: [e.g. torch 2.0.0]
- CUDA: [e.g. CUDA 11.8]
- Device: [e.g. A10, RTX3090]

Additional context / 其他信息

No response

Achazwl commented 5 months ago

The int4 version in huggingface has model weight store in huggingface's GPTQ format, which is not compatible in mlc-MiniCPM. Use the float version directly.