运行成功的记录
平台：带有GPU的服务器
运行的命令
git clone https://github.com/hiyouga/LLaMA-Factory.git
cd LLaMA-Factory/
conda create -n py310 python=3.10
conda activate py310
由于服务器不能直接从huggingface上下载Qwen1.5-0.5B，但本地可以，所以是直接上传的方式
然后执行如下命令，则执行成功
CUDA_VISIBLE_DEVICES=0,1 llamafactory-cli chat --model_name_or_path ./Qwen1.5-0.5B --template "qwen"
// 这个--template是怎么选择呢，/Users/wangfeng/code/LLaMA-Factory/src/llamafactory/data/template.py，在这个当中有进行规定
以下的记录整个思考过程
参考资料
教程：https://articles.zsxq.com/id_zdtwnsam9vbw.html
v0.6.1 版本：https://github.com/hiyouga/LLaMA-Factory/blob/v0.6.1/README_zh.md
在Mac上的情况
history 20
672 conda create -n py310 python=3.10
673 conda activate py310
674 pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple --ignore-installed
675 ls
676 git lfs install
677 history -10
678 brew install git-lfs
679 git lfs install
680 git clone git@hf.co:Qwen/Qwen1.5-0.5B
(py310) (myenv) ➜ LLaMA-Factory git:(main) git clone https://huggingface.co/Qwen/Qwen1.5-0.5B
Cloning into 'Qwen1.5-0.5B'...
remote: Enumerating objects: 76, done.
remote: Counting objects: 100% (9/9), done.
remote: Compressing objects: 100% (9/9), done.
remote: Total 76 (delta 2), reused 0 (delta 0), pack-reused 67 (from 1)
Unpacking objects: 100% (76/76), 3.62 MiB | 542.00 KiB/s, done.
Downloading model.safetensors (1.2 GB)
Error downloading object: model.safetensors (a88bcf4): Smudge error: Error downloading model.safetensors (a88bcf41b3fa9a20031b6b598abc11f694e35e0b5684d6e14dbe7e894ebbb080): batch response: Post "https://huggingface.co/Qwen/Qwen1.5-0.5B.git/info/lfs/objects/batch": dial tcp: lookup huggingface.co: no such host
Errors logged to '/Users/wangfeng/code/LLaMA-Factory/Qwen1.5-0.5B/.git/lfs/logs/20240601T165753.939959.log'.
Use `git lfs logs last` to view the log.
error: external filter 'git-lfs filter-process' failed
fatal: model.safetensors: smudge filter lfs failed
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry with 'git restore --source=HEAD :/'
681 git clone https://huggingface.co/Qwen/Qwen1.5-0.5B
682* CUDA_VISIBLE_DEVICES=0 python src/cli_demo.py \\n --model_name_or_path path_to_llama_model \\n --adapter_name_or_path path_to_checkpoint \\n --template default \\n --finetuning_type lora
// 这个是v0.6.1的命令，但直接git的时候是最新版本的，所以这里失败
683 git clone https://huggingface.co/Qwen/Qwen1.5-0.5B
684* pwd
685* CUDA_VISIBLE_DEVICES=0 llamafactory-cli chat examples/inference/llama3_lora_sft.yaml
// llama3没有权限进行访问
686* conda env list
687* pip install -e .[torch,metrics]
688* ls
689* pip install -e '.[torch,metrics]'
690* CUDA_VISIBLE_DEVICES=0 llamafactory-cli chat examples/inference/llama3_lora_sft.yaml
691* llamafactory-cli help
692* llamafactory-cli chat -h
693 ls -al Qwen1.5-0.5B
694 llamafactory-cli chat --model_name_or_path ./Qwen1.5-0.5B --template default
在本地的mac上运行llamafactory-cli chat --model_name_or_path ./Qwen1.5-0.5B --template default，出现如下错误：说明其不能在苹果的芯片上进行推理
Traceback (most recent call last):
File "/opt/miniconda3/envs/py310/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/opt/miniconda3/envs/py310/lib/python3.10/threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "/opt/miniconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/opt/miniconda3/envs/py310/lib/python3.10/site-packages/transformers/generation/utils.py", line 1591, in generate
model_kwargs["attention_mask"] = self._prepare_attention_mask_for_generation(
File "/opt/miniconda3/envs/py310/lib/python3.10/site-packages/transformers/generation/utils.py", line 468, in _prepare_attention_mask_for_generation
raise ValueError(
ValueError: Can't infer missing attention mask on `mps` device. Please provide an `attention_mask` or use a different device.
