---
inference: false
language:
  - zh
  - en
license: other
model_creator: baichuan-inc
model_link: https://www.modelscope.cn/models/baichuan-inc/Baichuan2-7B-Chat
model_name: Baichuan2-7B-Chat
model_type: baichuan
pipeline_tag: text-generation
quantized_by: shaowenchen
tasks:
  - text2text-generation
tags:
  - gguf
  - baichuan
  - chinese
---

## Provided files

| Name                          | Quant method | Size   |
| ----------------------------- | ------------ | ------ |
| baichuan2-7b-chat.Q2_K.gguf   | Q2_K         | 3.0 GB |
| baichuan2-7b-chat.Q3_K.gguf   | Q3_K         | 3.5 GB |
| baichuan2-7b-chat.Q3_K_L.gguf | Q3_K_L       | 3.8 GB |
| baichuan2-7b-chat.Q3_K_S.gguf | Q3_K_S       | 3.2 GB |
| baichuan2-7b-chat.Q4_0.gguf   | Q4_0         | 4.1 GB |
| baichuan2-7b-chat.Q4_1.gguf   | Q4_1         | 4.5 GB |
| baichuan2-7b-chat.Q4_K.gguf   | Q4_K         | 4.3 GB |
| baichuan2-7b-chat.Q4_K_S.gguf | Q4_K_S       | 4.1 GB |
| baichuan2-7b-chat.Q5_0.gguf   | Q5_0         | 4.9 GB |
| baichuan2-7b-chat.Q5_1.gguf   | Q5_1         | 5.3 GB |
| baichuan2-7b-chat.Q5_K.gguf   | Q5_K         | 5.0 GB |
| baichuan2-7b-chat.Q5_K_S.gguf | Q5_K_S       | 4.9 GB |
| baichuan2-7b-chat.Q6_K.gguf   | Q6_K         | 5.7 GB |
| baichuan2-7b-chat.Q8_0.gguf   | Q8_0         | 7.4 GB |
| baichuan2-7b-chat.gguf        | full         | 14 GB  |

Usage:

```bash
docker run --rm -it -p 8000:8000 -v /path/to/models:/models -e MODEL=/models/gguf-model-name.gguf hubimage/llama-cpp-python:latest
```

## Provided images

| Name                                        | Quant method | Size    |
| ------------------------------------------- | ------------ | ------- |
| `shaowenchen/baichuan2-7b-chat-gguf:Q2_K`   | Q2_K         | 7.59 GB |
| `shaowenchen/baichuan2-7b-chat-gguf:Q3_K`   | Q3_K         | 8.61 GB |
| `shaowenchen/baichuan2-7b-chat-gguf:Q3_K_L` | Q3_K_L       | 9.23 GB |
| `shaowenchen/baichuan2-7b-chat-gguf:Q3_K_S` | Q3_K_S       | 7.93 GB |
| `shaowenchen/baichuan2-7b-chat-gguf:Q4_0`   | Q4_0         | 9.6 GB  |

Usage:

```
docker run --rm -p 8000:8000 shaowenchen/baichuan2-7b-chat-gguf:Q2_K
```

and you can view http://localhost:8000/docs to see the swagger UI.