---
inference: false
language:
  - zh
license: other
model_creator: ziqingyang
model_link: https://huggingface.co/ziqingyang/chinese-llama-2-7b
model_name: chinese-llama-2-7b
model_type: llama
pipeline_tag: text-generation
quantized_by: shaowenchen
tasks:
  - text2text-generation
tags:
  - meta
  - gguf
  - llama
  - llama-2
  - chinese
---

## Provided files

| Name                           | Quant method | Size   |
| ------------------------------ | ------------ | ------ |
| chinese-llama-2-7b.Q2_K.gguf   | Q2_K         | 2.7 GB |
| chinese-llama-2-7b.Q3_K.gguf   | Q3_K         | 3.2 GB |
| chinese-llama-2-7b.Q3_K_L.gguf | Q3_K_L       | 3.5 GB |
| chinese-llama-2-7b.Q3_K_S.gguf | Q3_K_S       | 2.9 GB |
| chinese-llama-2-7b.Q4_0.gguf   | Q4_0         | 3.7 GB |
| chinese-llama-2-7b.Q4_1.gguf   | Q4_1         | 4.1 GB |
| chinese-llama-2-7b.Q4_K.gguf   | Q4_K         | 3.9 GB |
| chinese-llama-2-7b.Q4_K_S.gguf | Q4_K_S       | 3.7 GB |
| chinese-llama-2-7b.Q5_0.gguf   | Q5_0         | 4.5 GB |
| chinese-llama-2-7b.Q5_1.gguf   | Q5_1         | 4.9 GB |
| chinese-llama-2-7b.Q5_K.gguf   | Q5_K         | 4.6 GB |
| chinese-llama-2-7b.Q5_K_S.gguf | Q5_K_S       | 4.5 GB |
| chinese-llama-2-7b.Q6_K.gguf   | Q6_K         | 5.3 GB |
| chinese-llama-2-7b.Q8_0.gguf   | Q8_0         | 6.9 GB |
| chinese-llama-2-7b.gguf        | full         | 13 GB  |

## Provided images

| Name                                         | Quant method | Size    |
| -------------------------------------------- | ------------ | ------- |
| `shaowenchen/chinese-llama-2-7b-gguf:Q2_K`   | Q2_K         | 3.68 GB |
| `shaowenchen/chinese-llama-2-7b-gguf:Q3_K`   | Q3_K         | 4.16 GB |
| `shaowenchen/chinese-llama-2-7b-gguf:Q3_K_L` | Q3_K_L       | 4.46 GB |
| `shaowenchen/chinese-llama-2-7b-gguf:Q3_K_S` | Q3_K_S       | 3.81 GB |
| `shaowenchen/chinese-llama-2-7b-gguf:Q4_0`   | Q4_0         | 4.7 GB  |
| `shaowenchen/chinese-llama-2-7b-gguf:Q4_K`   | Q4_K         | 4.95 GB |
| `shaowenchen/chinese-llama-2-7b-gguf:Q4_K_S` | Q4_K_S       | 4.73 GB |

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

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