add meta files

.gitattributes

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-*.bin.* filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
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+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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-*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
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README.md

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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
-#tasks:
-#- text-generation
-license: Apache License 2.0
+inference: false
+language:
+  - zh
+license: other
+model_creator: lmsys
+model_link: https://huggingface.co/lmsys/vicuna-33b-v1.3
+model_name: vicuna-33b-v1.3
+model_type: vicuna
+pipeline_tag: text-generation
+quantized_by: shaowenchen
+tasks:
+  - text2text-generation
+tags:
+  - gguf
+  - vicuna
+  - chinese
 ---
-###### 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。
-###### 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。
-#### Clone with HTTP
+
+## Provided files
+
+| Name                        | Quant method | Size  |
+| --------------------------- | ------------ | ----- |
+| vicuna-33b-v1.3.Q2_K.gguf   | Q2_K         | 13 GB |
+| vicuna-33b-v1.3.Q3_K.gguf   | Q3_K         | 15 GB |
+| vicuna-33b-v1.3.Q3_K_L.gguf | Q3_K_L       | 16 GB |
+| vicuna-33b-v1.3.Q3_K_S.gguf | Q3_K_S       | 13 GB |
+| vicuna-33b-v1.3.Q4_0.gguf   | Q4_0         | 17 GB |
+| vicuna-33b-v1.3.Q4_1.gguf   | Q4_1         | 19 GB |
+| vicuna-33b-v1.3.Q4_K.gguf   | Q4_K         | 18 GB |
+| vicuna-33b-v1.3.Q4_K_S.gguf | Q4_K_S       | 17 GB |
+| vicuna-33b-v1.3.Q5_0.gguf   | Q5_0         | 21 GB |
+| vicuna-33b-v1.3.Q5_1.gguf   | Q5_1         | 23 GB |
+| vicuna-33b-v1.3.Q5_K.gguf   | Q5_K         | 21 GB |
+| vicuna-33b-v1.3.Q5_K_S.gguf | Q5_K_S       | 21 GB |
+| vicuna-33b-v1.3.Q6_K.gguf   | Q6_K         | 25 GB |
+| vicuna-33b-v1.3.Q8_0.gguf   | Q8_0         | 32 GB |
+| vicuna-33b-v1.3.gguf        | full         | 61 GB |
+
+Usage:
+
 ```bash
- git clone https://www.modelscope.cn/shaowenchen/vicuna-33b-v1.3-gguf.git
-```
+docker run --rm -it -p 8000:8000 -v /path/to/models:/models -e MODEL=/models/gguf-model-name.gguf hubimage/llama-cpp-python:latest
+```
+
+## Provided images
+
+| Name                                    | Quant method | Size    |
+| --------------------------------------- | ------------ | ------- |
+| `shaowenchen/vicuna-33b-v1.3-gguf:Q2_K` | Q2_K         | 3.68 GB |
+| `shaowenchen/vicuna-33b-v1.3-gguf:Q3_K` | Q3_K         | 4.16 GB |
+| `shaowenchen/vicuna-33b-v1.3-gguf:Q4_K` | Q4_K         | 4.16 GB |
+
+Usage:
+
+```
+docker run --rm -p 8000:8000 shaowenchen/vicuna-33b-v1.3-gguf:Q2_K
+```
+
+and you can view http://localhost:8000/docs to see the swagger UI.

configuration.json

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+{
+    "framework": "pytorch",
+    "task": "text-generation",
+    "model": {
+        "type": "llama2"
+    },
+    "pipeline": {
+        "type": "vicuna-33b-v1.3-text-generation-pipe"
+    }
+}