Update README.md

README.md

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 ---
+inference: false
+language:
+- zh
+- en
 license: unknown
+model_name: Rain-2x7B-MoE-32k-v0.2
+pipeline_tag: text-generation
+prompt_template: '<s> SYS_PROMPT [INST] QUERY1 [/INST] RESPONSE1 [INST] QUERY2 [/INST]'
+tags:
+- nlp
+- chinese
+- mistral
+- mixtral
+- traditional_chinese
+- merge
+- mergekit
+- MediaTek-Research/Breeze-7B-Instruct-v0_1
+- beowolx/CodeNinja-1.0-OpenChat-7B
+- mlabonne/Marcoro14-7B-slerp
 ---
+
+<br/>
+
+# 小雨同學 2x7B
+
+採用聯發科 Breeze 7B Instruct 為基底的國語 MoE (Mixture-of-Experts) 模型，共有兩個 Expert model。
+
+請用 Marcoro14-7B 或是 Breeze-7B-Instruct 所推薦的 Prompt 格式進行操作；以下為模型配置。
+
+![](https://i.imgur.com/f3Ro6Fu.png)
+
+### Rain-2x7B-MoE-32k-v0.2
+
+This is an experimental Mixtral-architecture MoE model with 2 of 7B sized fine-tunes. Breeze and CodeNinja are used on top of [Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp).
+
+Model configuration is as follows:
+
+* [Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp) as base.
+* [Breeze-7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1) as model 0.
+* [CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B) as model 1.
+
+To use the model, please use either prompt templates suggested by the base models.
+
+## Notes
+
+Please evaluate before use in any application pipeline. Activation for coding part of the model would be `'code'`, `'python'`, `'typescript'`, `'javascript'`, `'programming'`, `'algorithm'`.
+
+
+