结论:reward model 对于不同分级样本的准确率是逐渐下降的,区分性更强的样本 reward model 准确率越高。经过经验分析,对 Llama 2-Chat 模型效果优化最有用的还是区分性更强的样本,只要这部分样本的reward model 准确率足够高就行,所以问题不大。 规模趋势 在同等训练样本的情况下,reward model 模型越大,效果越好...
Method 2: From Source: git clone https://github.com/liltom-eth/llama2-webui.git cd llama2-webui pip install -r requirements.txt Install Issues: bitsandbytes >= 0.39may not work on older NVIDIA GPUs. In that case, to useLOAD_IN_8BIT, you may have to downgrade like this: ...
Download model weights into./model. Install all the needed dependencies. $ git clone https://github.com/cedrickchee/llama.git $cdllama&&pip install -r requirements.txt Note: Don't use Conda. Use pip. If you have trouble with bitsandbytes,build and install it from source. ...
Examples and recipes for Llama 2 model. Contribute to YEY11/llama-recipes development by creating an account on GitHub.
using command below to convert llama model to llama2 model fot this project. NOTE: make sure you have enough hard disk space. ./llama2 convert --output 7B.model~/llama/llama-2-7b NOTE: support quantization in the feature cluster computing will implement in the feature ...
1. llama2相关网站 1.1 llama2 70B Chatbot在线体验网站地址 1.2 llama2的github网站 2.下载代码模型和许可申请 2.1 登录官网,注册申请 2.2 运行第一个demo:fine tune相关 2.3 运行第二个demo:chat 3. cpu部署(docker) 3.1 安装docker 3.2 下载模型镜像 结尾: 写在前面: 本文为个人学习之作,拒绝任何商用行为...
Reporting issues with the model: github.com/facebookresearch/llama Reporting risky content generated by the model: developers.facebook.com/llama_output_feedback Reporting bugs and security concerns: facebook.com/whitehat/info Model Card See MODEL_CARD.md. License Our model and weights are licensed...
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2. 将模型转换为Hugging Face支持的格式 pip install git+https://github.com/huggingface/transformerscd transformerspython convert_llama_weights_to_hf.py \ --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir models_hf/7B ...
There is a LLama model code adopted for better debuging in Jupyter Notebook. Llama code is taken fromhttps://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.pyand splitted into several files by classes. And after that an adoption is applied to LlamaAtten...