---
base_model: baichuan-inc/Baichuan2-7B-Chat
inference: false
library_name: transformers
license_name: baichuan2-community-license
license_link: https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat/blob/main/Community%20License%20for%20Baichuan2%20Model.pdf
model_creator: Baichuan Intelligent Technology
model_name: Baichuan2 7B Chat
model_type: baichuan
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
  - en
  - zh
---

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# Baichuan2-7B-Chat-GGUF

## Original Model

[baichuan-inc/Baichuan2-7B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.8](https://github.com/second-state/LlamaEdge/releases/tag/0.2.8) and above

- Prompt template

  - Prompt type: `baichuan-2`

  - Prompt string

    ```text
    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

  ```bash
  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

  ```bash
  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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/Baichuan2-7B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 4.39 GB| small, greater quality loss |
| [Baichuan2-7B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/Baichuan2-7B-Chat-Q6_K.gguf)     | Q6_K   | 6 | 6.16 GB| very large, extremely low quality loss |
| [Baichuan2-7B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Baichuan2-7B-Chat-GGUF/blob/main/Baichuan2-7B-Chat-Q8_0.gguf)     | Q8_0   | 8 | 7.98 GB| very large, extremely low quality loss - not recommended |