File size: 2,200 Bytes
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---
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.
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