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shaowenchen
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chinese-alpaca-2-7b-16k-gguf

Text Generation
GGUF
English
meta
llama
llama-2
chinese
Model card Files Community
chinese-alpaca-2-7b-16k-gguf
File size: 4,936 Bytes 
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---
inference: false
language:
  - zh
license: apache-2.0
model_creator: ziqingyang
model_link: https://huggingface.co/ziqingyang/chinese-llama-2-7b-16k
model_name: chinese-llama-2-7b-16k
model_type: llama
pipeline_tag: text-generation
quantized_by: shaowenchen
tags:
  - meta
  - gguf
  - llama
  - llama-2
  - chinese
---

> [English](README.md) | 中文

## 提供的文件

| 名称                                                                                                                                     | 量化方法 | 大小   |
| ---------------------------------------------------------------------------------------------------------------------------------------- | -------- | ------ |
| [chinese-llama-2-7b-16k.Q2_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q2_K.gguf)     | Q2_K     | 2.7 GB |
| [chinese-llama-2-7b-16k.Q3_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q3_K.gguf)     | Q3_K     | 3.2 GB |
| [chinese-llama-2-7b-16k.Q3_K_L.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q3_K_L.gguf) | Q3_K_L   | 3.5 GB |
| [chinese-llama-2-7b-16k.Q3_K_S.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q3_K_S.gguf) | Q3_K_S   | 2.9 GB |
| [chinese-llama-2-7b-16k.Q4_0.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q4_0.gguf)     | Q4_0     | 3.7 GB |
| [chinese-llama-2-7b-16k.Q4_1.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q4_1.gguf)     | Q4_1     | 4.1 GB |
| [chinese-llama-2-7b-16k.Q4_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q4_K.gguf)     | Q4_K     | 3.9 GB |
| [chinese-llama-2-7b-16k.Q4_K_S.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q4_K_S.gguf) | Q4_K_S   | 3.7 GB |
| [chinese-llama-2-7b-16k.Q5_0.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q5_0.gguf)     | Q5_0     | 4.5 GB |
| [chinese-llama-2-7b-16k.Q5_1.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q5_1.gguf)     | Q5_1     | 4.9 GB |
| [chinese-llama-2-7b-16k.Q5_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q5_K.gguf)     | Q5_K     | 4.6 GB |
| [chinese-llama-2-7b-16k.Q5_K_S.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q5_K_S.gguf) | Q5_K_S   | 4.5 GB |
| [chinese-llama-2-7b-16k.Q6_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q6_K.gguf)     | Q6_K     | 5.3 GB |
| [chinese-llama-2-7b-16k.Q8_0.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.Q8_0.gguf)     | Q8_0     | 6.9 GB |
| [chinese-llama-2-7b-16k.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-16k-gguf/blob/main/chinese-llama-2-7b-16k.gguf)               | 完整     | 13 GB  |

## 提供的镜像

| 名称                                                                                                                               | 量化方法 | 大小    |
| ---------------------------------------------------------------------------------------------------------------------------------- | -------- | ------- |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q2_K](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general)   | Q2_K     | 3.68 GB |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q3_K](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general)   | Q3_K     | 4.16 GB |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q3_K_L](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general) | Q3_K_L   | 4.46 GB |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q3_K_S](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general) | Q3_K_S   | 3.81 GB |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q4_0](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general)   | Q4_0     | 4.7 GB  |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q4_K](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general)   | Q4_K     | 4.95 GB |
| [shaowenchen/chinese-llama-2-7b-16k-gguf:Q4_K_S](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-16k-gguf/general) | Q4_K_S   | 4.73 GB |

```
docker run --rm -p 8000:8000 shaowenchen/chinese-llama-2-7b-16k-gguf:Q2_K
```

并打开 http://localhost:8000/docs 查看 API 文档。