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--- |
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inference: false |
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language: |
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- zh |
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license: apache-2.0 |
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model_creator: ziqingyang |
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model_link: https://huggingface.co/ziqingyang/chinese-llama-2-7b-16k |
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model_name: chinese-llama-2-7b-16k |
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model_type: llama |
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pipeline_tag: text-generation |
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quantized_by: shaowenchen |
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tags: |
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- meta |
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- gguf |
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- llama |
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- llama-2 |
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- chinese |
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--- |
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> [English](README.md) | 中文 |
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## 提供的文件 |
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| 名称 | 量化方法 | 大小 | |
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| ---------------------------------------------------------------------------------------------------------------------------------------- | -------- | ------ | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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## 提供的镜像 |
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|
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| 名称 | 量化方法 | 大小 | |
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| ---------------------------------------------------------------------------------------------------------------------------------- | -------- | ------- | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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|
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``` |
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docker run --rm -p 8000:8000 shaowenchen/chinese-llama-2-7b-16k-gguf:Q2_K |
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``` |
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并打开 http://localhost:8000/docs 查看 API 文档。 |
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|
