湖南营销型网站建设企业,计算机毕设网站建设怎么改,做兼职推荐网站,优秀企业网站赏析作者#xff1a;张华 发表于#xff1a;2023-09-06
版权声明#xff1a;可以任意转载#xff0c;转载时请务必以超链接形式标明文章原始出处和作者信息及本版权声明 ( http://blog.csdn.net/quqi99 )
据说现在在PC机上可以运行llama2大模型了#xff0c;
Way 1
于是照…作者张华 发表于2023-09-06
版权声明可以任意转载转载时请务必以超链接形式标明文章原始出处和作者信息及本版权声明 ( http://blog.csdn.net/quqi99 )
据说现在在PC机上可以运行llama2大模型了
Way 1
于是照着这个文档[1] 试了一下
#https://medium.com/karankakwani/build-and-run-llama2-llm-locally-a3b393c1570e
git clone https://github.com/facebookresearch/llama.git
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
make
#request access - https://ai.meta.com/resources/models-and-libraries/llama-downloads/
#then run cd llama ./download.sh, and select 7B-chat to download
du -h ./llama-2-7b-chat/consolidated.00.pth
cd ../llama.cpp/
python3 -m venv llama2
source llama2/bin/activate
python3 -m pip install -r requirements.txt
mkdir -p models/7B
python3 convert.py --outfile models/7B/ggml-model-f16.bin --outtype f16 ../../llama2/llama/llama-2-7b-chat --vocab-dir ../../llama2/llama但是在上面转换成f16模式的时候报了一个python的错误像是这个bug (https://github.com/huggingface/transformers/issues/20011 ), 但解决不了。
Way 2
于是接着转向使用xinference框架在本地试成功了就是在nuc上(i7-13700H)速度挺慢的.
python3 -m venv xinference
source xinference/bin/activate
pip install xinference[all]
xinference -H 192.168.99.179Way 3
#https://github.com/PromtEngineer/localGPT
wget -c https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh -b
export PATH/home/hua/miniconda3/bin:$PATH
conda
conda create -n localGPT
conda env list
conda init bash
conda activate localGPT
cd /bak/work/ai
git clone https://github.com/PromtEngineer/localGPT.git
cd localGPT
pip install -r requirements.txt
cp /nas/book/计算机网络.pdf /bak/work/ai/localGPT/SOURCE_DOCUMENTS/
#need to use proxychains to access huggingface.co:443 and cdn-lfs.huggingface.co:443 to download pytorch_model.bin etc
#proxychains python ingest.py
proxychains python ingest.py --device_type cpu
proxychains python run_localGPT.py[1] https://medium.com/karankakwani/build-and-run-llama2-llm-locally-a3b393c1570e
