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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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<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/second-state/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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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: [v0.2.4](https://github.com/second-state/LlamaEdge/releases/tag/0.2.4)
- 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:`
- 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 | 6.5 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 |