Commit
•
368d708
1
Parent(s):
e9ad72e
init
Browse files- README.md +27 -29
- README_zh.md +0 -58
- chinese-llama-2-7b.Q2_K.gguf +3 -0
- chinese-llama-2-7b.Q3_K.gguf +3 -0
- chinese-llama-2-7b.Q3_K_L.gguf +3 -0
- chinese-llama-2-7b.Q3_K_S.gguf +3 -0
- chinese-llama-2-7b.Q4_0.gguf +3 -0
- chinese-llama-2-7b.Q4_1.gguf +3 -0
- chinese-llama-2-7b.Q4_K.gguf +3 -0
- chinese-llama-2-7b.Q4_K_S.gguf +3 -0
- chinese-llama-2-7b.Q5_0.gguf +3 -0
- chinese-llama-2-7b.Q5_1.gguf +3 -0
- chinese-llama-2-7b.Q5_K.gguf +3 -0
- chinese-llama-2-7b.Q5_K_S.gguf +3 -0
- chinese-llama-2-7b.Q6_K.gguf +3 -0
- chinese-llama-2-7b.Q8_0.gguf +3 -0
- chinese-llama-2-7b.gguf +3 -0
- configuration.json +3 -0
README.md
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- chinese
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---
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> English | [中文](README_zh.md)
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## Provided files
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| Name
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## Provided images
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```
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docker run --rm -p 8000:8000 shaowenchen/chinese-llama-2-7b-gguf:Q2_K
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```
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and
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- chinese
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---
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## Provided files
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| Name | Quant method | Size |
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| ------------------------------ | ------------ | ------ |
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| chinese-llama-2-7b.Q2_K.gguf | Q2_K | 2.7 GB |
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| chinese-llama-2-7b.Q3_K.gguf | Q3_K | 3.2 GB |
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| chinese-llama-2-7b.Q3_K_L.gguf | Q3_K_L | 3.5 GB |
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| chinese-llama-2-7b.Q3_K_S.gguf | Q3_K_S | 2.9 GB |
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| chinese-llama-2-7b.Q4_0.gguf | Q4_0 | 3.7 GB |
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| chinese-llama-2-7b.Q4_1.gguf | Q4_1 | 4.1 GB |
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| chinese-llama-2-7b.Q4_K.gguf | Q4_K | 3.9 GB |
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| chinese-llama-2-7b.Q4_K_S.gguf | Q4_K_S | 3.7 GB |
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| chinese-llama-2-7b.Q5_0.gguf | Q5_0 | 4.5 GB |
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| chinese-llama-2-7b.Q5_1.gguf | Q5_1 | 4.9 GB |
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| chinese-llama-2-7b.Q5_K.gguf | Q5_K | 4.6 GB |
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| chinese-llama-2-7b.Q5_K_S.gguf | Q5_K_S | 4.5 GB |
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| chinese-llama-2-7b.Q6_K.gguf | Q6_K | 5.3 GB |
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| chinese-llama-2-7b.Q8_0.gguf | Q8_0 | 6.9 GB |
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| chinese-llama-2-7b.gguf | full | 13 GB |
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## Provided images
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| Name | Quant method | Size |
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| -------------------------------------------- | ------------ | ------- |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q2_K` | Q2_K | 3.68 GB |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q3_K` | Q3_K | 4.16 GB |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q3_K_L` | Q3_K_L | 4.46 GB |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q3_K_S` | Q3_K_S | 3.81 GB |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q4_0` | Q4_0 | 4.7 GB |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q4_K` | Q4_K | 4.95 GB |
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| `shaowenchen/chinese-llama-2-7b-gguf:Q4_K_S` | Q4_K_S | 4.73 GB |
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```
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docker run --rm -p 8000:8000 shaowenchen/chinese-llama-2-7b-gguf:Q2_K
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```
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and you can view http://localhost:8000/docs to see the swagger UI.
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README_zh.md
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---
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inference: false
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language:
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license: apache-2.0
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model_creator: ziqingyang
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model_link: https://www.modelscope.cn/ziqingyang/chinese-llama-2-7b
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model_name: chinese-llama-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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tags:
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- llama
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- llama-2
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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.Q2_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q2_K.gguf) | Q2_K | 2.7 GB |
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| [chinese-llama-2-7b.Q3_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q3_K.gguf) | Q3_K | 3.2 GB |
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| [chinese-llama-2-7b.Q3_K_L.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q3_K_L.gguf) | Q3_K_L | 3.5 GB |
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| [chinese-llama-2-7b.Q3_K_S.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q3_K_S.gguf) | Q3_K_S | 2.9 GB |
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| [chinese-llama-2-7b.Q4_0.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q4_0.gguf) | Q4_0 | 3.7 GB |
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| [chinese-llama-2-7b.Q4_1.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q4_1.gguf) | Q4_1 | 4.1 GB |
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| [chinese-llama-2-7b.Q4_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q4_K.gguf) | Q4_K | 3.9 GB |
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| [chinese-llama-2-7b.Q4_K_S.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q4_K_S.gguf) | Q4_K_S | 3.7 GB |
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| [chinese-llama-2-7b.Q5_0.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q5_0.gguf) | Q5_0 | 4.5 GB |
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| [chinese-llama-2-7b.Q5_1.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q5_1.gguf) | Q5_1 | 4.9 GB |
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| [chinese-llama-2-7b.Q5_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q5_K.gguf) | Q5_K | 4.6 GB |
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| [chinese-llama-2-7b.Q5_K_S.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q5_K_S.gguf) | Q5_K_S | 4.5 GB |
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| [chinese-llama-2-7b.Q6_K.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q6_K.gguf) | Q6_K | 5.3 GB |
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| [chinese-llama-2-7b.Q8_0.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.Q8_0.gguf) | Q8_0 | 6.9 GB |
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| [chinese-llama-2-7b.gguf](https://www.modelscope.cn/shaowenchen/chinese-llama-2-7b-GGUF/blob/main/chinese-llama-2-7b.gguf) | 完整 | 13 GB |
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## 提供的镜像
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| [shaowenchen/chinese-llama-2-7b-gguf:Q2_K](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q2_K | 3.68 GB |
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| [shaowenchen/chinese-llama-2-7b-gguf:Q3_K](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q3_K | 4.16 GB |
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| [shaowenchen/chinese-llama-2-7b-gguf:Q3_K_L](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q3_K_L | 4.46 GB |
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| [shaowenchen/chinese-llama-2-7b-gguf:Q3_K_S](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q3_K_S | 3.81 GB |
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| [shaowenchen/chinese-llama-2-7b-gguf:Q4_0](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q4_0 | 4.7 GB |
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| [shaowenchen/chinese-llama-2-7b-gguf:Q4_K](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q4_K | 4.95 GB |
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| [shaowenchen/chinese-llama-2-7b-gguf:Q4_K_S](https://hub.docker.com/repository/docker/shaowenchen/chinese-llama-2-7b-gguf/general) | Q4_K_S | 4.73 GB |
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```
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docker run --rm -p 8000:8000 shaowenchen/chinese-llama-2-7b-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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| 2 |
+
oid sha256:0182d4188160f6c283a4b1e624f9b97e80b271bddc9ecbd00498ddb318d57ebf
|
| 3 |
+
size 7364365856
|
chinese-llama-2-7b.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:acbd95212ffc6215b91308065ca49bcb030c8f8b87395864e9c06449324c4c39
|
| 3 |
+
size 13860294144
|
configuration.json
CHANGED
|
@@ -3,5 +3,8 @@
|
|
| 3 |
"task": "text-generation",
|
| 4 |
"model": {
|
| 5 |
"type": "llama2"
|
|
|
|
|
|
|
|
|
|
| 6 |
}
|
| 7 |
}
|
|
|
|
| 3 |
"task": "text-generation",
|
| 4 |
"model": {
|
| 5 |
"type": "llama2"
|
| 6 |
+
},
|
| 7 |
+
"pipeline": {
|
| 8 |
+
"type": "chinese-llama-2-7b-text-generation-pipe"
|
| 9 |
}
|
| 10 |
}
|