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Baichuan2-13B-Chat-GGUF

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Baichuan2-13B-Chat-GGUF
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---
base_model: baichuan-inc/Baichuan2-13B-Chat
inference: false
library_name: transformers
license: other
model_creator: Baichuan Intelligent Technology
model_name: Baichuan2 13B Chat
model_type: baichuan
tasks:
  - text-generation
quantized_by: Second State Inc.
language:
  - en
  - zh
---

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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# Baichuan2-13B-Chat-GGUF

## Original Model

[baichuan-inc/Baichuan2-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.11](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.11) 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: `5120`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Baichuan2-13B-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:Baichuan2-13B-Chat-Q5_K_M.gguf llama-chat.wasm -p baichuan-2 -r '用户:'
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Baichuan2-13B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q2_K.gguf)     | Q2_K   | 2 | 5.93 GB| smallest, significant quality loss - not recommended for most purposes |
| [Baichuan2-13B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 7.67 GB| small, substantial quality loss |
| [Baichuan2-13B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 7.24 GB| very small, high quality loss |
| [Baichuan2-13B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 6.77 GB| very small, high quality loss |
| [Baichuan2-13B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q4_0.gguf)     | Q4_0   | 4 | 7.99 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Baichuan2-13B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 9.00 GB| medium, balanced quality - recommended |
| [Baichuan2-13B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 8.37 GB| small, greater quality loss |
| [Baichuan2-13B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q5_0.gguf)     | Q5_0   | 5 | 9.64 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Baichuan2-13B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 10.3 GB| large, very low quality loss - recommended |
| [Baichuan2-13B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 9.82 GB| large, low quality loss - recommended |
| [Baichuan2-13B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q6_K.gguf)     | Q6_K   | 6 | 12.1 GB| very large, extremely low quality loss |
| [Baichuan2-13B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Baichuan2-13B-Chat-GGUF/blob/main/Baichuan2-13B-Chat-Q8_0.gguf)     | Q8_0   | 8 | 14.8 GB| very large, extremely low quality loss - not recommended |

*Quantized with llama.cpp b1953*