---

Baichuan2-7B-Chat-GGUF

Original Model

baichuan-inc/Baichuan2-7B-Chat

Run with LlamaEdge

• LlamaEdge version: v0.2.8 and above

• Prompt template

  • Prompt type: baichuan-2

  • Prompt string

    以下内容为人类用户与与一位智能助手的对话。
    
    用户:你好！
    助手:
    

  • Reverse prompt: 用户:

• Context size: 4096

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Baichuan2-7B-Chat-Q5_K_M.gguf llama-api-server.wasm -p baichuan-2 -r '用户:'
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Baichuan2-7B-Chat-Q5_K_M.gguf llama-chat.wasm -p baichuan-2 -r '用户:'
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Baichuan2-7B-Chat-Q2_K.gguf	Q2_K	2	3.27 GB	smallest, significant quality loss - not recommended for most purposes
Baichuan2-7B-Chat-Q3_K_L.gguf	Q3_K_L	3	4.08 GB	small, substantial quality loss
Baichuan2-7B-Chat-Q3_K_M.gguf	Q3_K_M	3	3.78 GB	very small, high quality loss
Baichuan2-7B-Chat-Q3_K_S.gguf	Q3_K_S	3	3.43 GB	very small, high quality loss
Baichuan2-7B-Chat-Q4_0.gguf	Q4_0	4	4.36 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Baichuan2-7B-Chat-Q4_K_M.gguf	Q4_K_M	4	4.61 GB	medium, balanced quality - recommended
Baichuan2-7B-Chat-Q4_K_S.gguf	Q4_K_S	4	4.39 GB	small, greater quality loss
Baichuan2-7B-Chat-Q5_0.gguf	Q5_0	5	5.23 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Baichuan2-7B-Chat-Q5_K_M.gguf	Q5_K_M	5	5.36 GB	large, very low quality loss - recommended
Baichuan2-7B-Chat-Q5_K_S.gguf	Q5_K_S	5	5.23 GB	large, low quality loss - recommended
Baichuan2-7B-Chat-Q6_K.gguf	Q6_K	6	6.16 GB	very large, extremely low quality loss
Baichuan2-7B-Chat-Q8_0.gguf	Q8_0	8	7.98 GB	very large, extremely low quality loss - not recommended