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  1. .gitattributes +12 -10
  2. README.md +56 -9
  3. configuration.json +10 -0
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README.md CHANGED
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  ---
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- #以下为文本生成的 "tasks"示例,您可以从此网页中了解更多相关信息:https://modelscope.cn/docs/%E4%BB%BB%E5%8A%A1%E7%9A%84%E4%BB%8B%E7%BB%8D
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- #tasks:
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- #- text-generation
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- license: Apache License 2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- ###### 该模型当前使用的是默认介绍模版,处于“预发布”阶段,页面仅限所有者可见。
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- ###### 请根据[模型贡献文档说明](https://www.modelscope.cn/docs/%E5%A6%82%E4%BD%95%E6%92%B0%E5%86%99%E5%A5%BD%E7%94%A8%E7%9A%84%E6%A8%A1%E5%9E%8B%E5%8D%A1%E7%89%87),及时完善模型卡片内容。ModelScope平台将在模型卡片完善后展示。谢谢您的理解。
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- #### Clone with HTTP
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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- git clone https://www.modelscope.cn/shaowenchen/vicuna-7b-v1.5-16k-gguf.git
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ inference: false
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+ language:
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+ - zh
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+ - en
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+ license: other
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+ model_creator: lmsys
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+ model_link: https://huggingface.co/lmsys/vicuna-7b-v1.5-16k
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+ model_name: chinese-llama-2-7b-16k
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+ model_type: vicuna
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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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+ - gguf
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+ - vicuna
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+ - chinese
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  ---
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+
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+ ## Provided files
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+
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+ | Name | Quant method | Size |
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+ | ------------------------------ | ------------ | ------ |
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+ | vicuna-7b-v1.5-16k.Q2_K.gguf | Q2_K | 2.6 GB |
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+ | vicuna-7b-v1.5-16k.Q3_K.gguf | Q3_K | 3.1 GB |
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+ | vicuna-7b-v1.5-16k.Q3_K_L.gguf | Q3_K_L | 3.3 GB |
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+ | vicuna-7b-v1.5-16k.Q3_K_S.gguf | Q3_K_S | 2.7 GB |
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+ | vicuna-7b-v1.5-16k.Q4_0.gguf | Q4_0 | 3.6 GB |
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+ | vicuna-7b-v1.5-16k.Q4_1.gguf | Q4_1 | 3.9 GB |
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+ | vicuna-7b-v1.5-16k.Q4_K.gguf | Q4_K | 3.8 GB |
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+ | vicuna-7b-v1.5-16k.Q4_K_S.gguf | Q4_K_S | 3.6 GB |
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+ | vicuna-7b-v1.5-16k.Q5_0.gguf | Q5_0 | 4.3 GB |
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+ | vicuna-7b-v1.5-16k.Q5_1.gguf | Q5_1 | 4.7 GB |
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+ | vicuna-7b-v1.5-16k.Q5_K.gguf | Q5_K | 4.5 GB |
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+ | vicuna-7b-v1.5-16k.Q5_K_S.gguf | Q5_K_S | 4.3 GB |
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+ | vicuna-7b-v1.5-16k.Q6_K.gguf | Q6_K | 5.1 GB |
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+ | vicuna-7b-v1.5-16k.Q8_0.gguf | Q8_0 | 6.7 GB |
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+ | vicuna-7b-v1.5-16k.gguf | full | 13 GB |
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+
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+ Usage:
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+
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  ```bash
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+ docker run --rm -it -p 8000:8000 -v /path/to/models:/models -e MODEL=/models/gguf-model-name.gguf hubimage/llama-cpp-python:latest
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+ ```
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+
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+ ## Provided images
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+
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+ | Name | Quant method | Size |
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+ | ------------------------------------- | ------------ | ------- |
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+ | `shaowenchen/vicuna-7b-v1.5-16k-gguf` | Q2_K | 3.68 GB |
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+
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+ Usage:
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+
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+ ```
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+ docker run --rm -p 8000:8000 shaowenchen/vicuna-7b-v1.5-16k-gguf:Q2_K
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+ ```
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+
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+ and you can view http://localhost:8000/docs to see the swagger UI.
configuration.json ADDED
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+ {
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+ "framework": "pytorch",
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+ "task": "text-generation",
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+ "model": {
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+ "type": "vicuna"
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+ },
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+ "pipeline": {
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+ "type": "vicuna-7b-v1.5-16k-text-generation-pipe"
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+ }
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+ }