Huatuo-Llama-Med-Chinese
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Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草(原名:华驼)模型仓库,基于中文医学知识的大语言模型指令微调
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请问有实现单节点多GPU并行训练的代码吗,谢谢🙏
生成答案重复
非常感谢您的贡献,我基于活字1.0进行了lora模型的复现工作,下面是我的复现结果:   我想请教您关于模型回答一直重复的问题(在temperature=1.0的情况下),我在进行其他模型训练的时候也经常遇到类似的问题,我想知道这个问题产生的具体原因是什么?是因为训练方式的原因,还是因为推理时参数设置的原因呢?万分感谢!!!
Traceback (most recent call last): File "E:\wbjdata\QA\Huatuo-Llama-Med-Chinese-main\Huatuo-Llama-Med-Chinese-main\1.py", line 124, in fire.Fire(main) File "E:\anaconda3\envs\LLAMA10\lib\site-packages\fire\core.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "E:\anaconda3\envs\LLAMA10\lib\site-packages\fire\core.py", line 475, in _Fire...
我使用llama 65b 在多GPU A100 infer.py推理的时候报了错误, 在finetune.py没有问题
大家好! 我今天试着跑了下这个 Huatuo-Llama-Med-Chinese (整个过程见下文说明),然后遇到了这个错误: ``` $ bash scripts/infer.sh /usr/lib/python3/dist-packages/requests/__init__.py:87: RequestsDependencyWarning: urllib3 (2.0.4) or chardet (4.0.0) doesn't match a supported version! warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "...
===================================BUG REPORT=================================== Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues ================================================================================ /opt/conda/envs/huatuo/lib/python3.9/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: /opt/conda/envs/huatuo did not contain libcudart.so as expected! Searching further paths... warn(msg) /opt/conda/envs/huatuo/lib/python3.9/site-packages/bitsandbytes/cuda_setup/main.py:136:...
│ │ │ 403 │ │ │ │ device_map = infer_auto_device_map( │ │ 404 │ │ │ │ │ self, max_memory=max_memory, no_split_module_classes=no_split_module │ │ 405 │ │ │ │ )...