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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: other |
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model_creator: ziqingyang |
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model_link: https://huggingface.co/ziqingyang/chinese-alpaca-2-7b |
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model_name: chinese-alpaca-2-7b |
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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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tasks: |
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- text2text-generation |
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tags: |
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- meta |
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- gguf |
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- llama |
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- alpaca-2 |
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- chinese |
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--- |
|
|
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## Provided files |
|
|
|
| Name | Quant method | Size | |
|
| ------------------------------- | ------------ | ------ | |
|
| chinese-alpaca-2-7b.Q2_K.gguf | Q2_K | 2.7 GB | |
|
| chinese-alpaca-2-7b.Q3_K.gguf | Q3_K | 3.2 GB | |
|
| chinese-alpaca-2-7b.Q3_K_L.gguf | Q3_K_L | 3.5 GB | |
|
| chinese-alpaca-2-7b.Q3_K_S.gguf | Q3_K_S | 2.9 GB | |
|
| chinese-alpaca-2-7b.Q4_0.gguf | Q4_0 | 3.7 GB | |
|
| chinese-alpaca-2-7b.Q4_1.gguf | Q4_1 | 4.1 GB | |
|
| chinese-alpaca-2-7b.Q4_K.gguf | Q4_K | 3.9 GB | |
|
| chinese-alpaca-2-7b.Q4_K_S.gguf | Q4_K_S | 3.7 GB | |
|
| chinese-alpaca-2-7b.Q5_0.gguf | Q5_0 | 4.5 GB | |
|
| chinese-alpaca-2-7b.Q5_1.gguf | Q5_1 | 4.9 GB | |
|
| chinese-alpaca-2-7b.Q5_K.gguf | Q5_K | 4.6 GB | |
|
| chinese-alpaca-2-7b.Q5_K_S.gguf | Q5_K_S | 4.5 GB | |
|
| chinese-alpaca-2-7b.Q6_K.gguf | Q6_K | 5.3 GB | |
|
| chinese-alpaca-2-7b.Q8_0.gguf | Q8_0 | 6.9 GB | |
|
| chinese-alpaca-2-7b.gguf | full | 13 GB | |
|
|
|
## Provided images |
|
|
|
| Name | Quant method | Size | |
|
| --------------------------------------------- | ------------ | ------- | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q2_K` | Q2_K | 3.68 GB | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q3_K` | Q3_K | 4.16 GB | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q3_K_L` | Q3_K_L | 4.46 GB | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q3_K_S` | Q3_K_S | 3.81 GB | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q4_0` | Q4_0 | 4.7 GB | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q4_K` | Q4_K | 4.95 GB | |
|
| `shaowenchen/chinese-alpaca-2-7b-gguf:Q4_K_S` | Q4_K_S | 4.73 GB | |
|
|
|
``` |
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docker run --rm -p 8000:8000 shaowenchen/chinese-alpaca-2-7b-gguf:Q2_K |
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``` |
|
|
|
and you can view http://localhost:8000/docs to see the swagger UI. |
|
|
