运行成功后,打开浏览器访问http://localhost:7860或http://你的IP地址:7860,就可以开始与LLaMA2模型对话了。 LLaMA2 Chat界面预览 模型性能与硬件要求 不同版本的LLaMA2模型对硬件的要求也不同: 官方英文版(7B/13B):需要8~14GB显存 LinkSoul中文版:需要8~14GB显存 4bit量化中文版:仅需5GB显存 GGML (Llama....
https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b-GPTQ 22.Redmond Puffin 13B https://huggingface.co/NousResearch/Redmond-Puffin-13B https://huggingface.co/NousResearch/Redmond-Puffin-13B-GGML 23.Llama 2 7B Uncensored https://huggingface.co/georgesung/llama2_7b_chat_uncensored 24.Luna ...
下载FlagAlpha/Llama2-Chinese-13b-Chat模型库:meta-llama/Llama-2-13b-chat-hf at main cd D:Llama2-Chinese Llama2-Chinese只支持4bit的数据模型,可正常运行: python examples/chat_gradio.py --model_name_or_path D:\oobabooga_windows\text-generation-webui\models\Llama-2-7b-chat-hf python examples...
https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b-GPTQ 22.Redmond Puffin 13B https://huggingface.co/NousResearch/Redmond-Puffin-13B https://huggingface.co/NousResearch/Redmond-Puffin-13B-GGML 23.Llama 2 7B Uncensored https://huggingface.co/georgesung/llama2_7b_chat_uncensored 24.Luna ...
/bin/bash# temporary script to chat with Chinese Alpaca-2 model# usage: ./chat.sh alpaca2-ggml-model-path your-first-instructionSYSTEM='You are a helpful assistant. 你是一个乐于助人的助手。'FIRST_INSTRUCTION=$2./main -m $1 \--color -i -c 4096 -t 8 --temp 0.5 --top_k 40 -...
https://huggingface.co/Mikael110/llama-2-13b-guanaco-fp16 https://huggingface.co/Mikael110/llama-2-70b-guanaco-qlora 26.Chinese Llama 2 7B https://github.com/LinkSoul-AI/Chinese-Llama-2-7b 27.llama2-Chinese-chat https://github.com/CrazyBoyM/llama2-Chinese-chat ...
# default arguments using a 7B model ./examples/chat.sh # advanced chat with a 13B model ./examples/chat-13B.sh # custom arguments using a 13B model ./main -m ./models/13B/ggml-model-q4_0.bin -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt...
也就是说如果将llama2部署在自己的PC或服务器上，就相当于拥有了自己的ChatGPT（能力和ChatGPT差距比较...
目前模型有7B、13B、70B三种规格,预训练阶段使用了2万亿Token,SFT阶段使用了超过10w数据,人类偏好数据超过100w。 另外大家最关心的Llama2和ChatGPT模型的效果对比,在论文里也有提到, 对比GPT-4,Llama2评估结果更优,绿色部分表示Llama2优于GPT4的比例 虽然中文的占比只有0.13%,但后续会有一大推中文扩充词表预训练&...
Llama-2-7B-Chat-GGML 4bit (llama.cpp backend).env.7b_ggmlv3_q4_0_example Llama-2-13b-chat-hf (transformers backend).env.13b_example ... Run on Nvidia GPU The running requires around 14GB of GPU VRAM for Llama-2-7b and 28GB of GPU VRAM for Llama-2-13b. If you...