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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: unknown |
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model_name: Rain-2x7B-MoE-32k-v0.2 |
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pipeline_tag: text-generation |
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prompt_template: '<s> SYS_PROMPT [INST] QUERY1 [/INST] RESPONSE1 [INST] QUERY2 [/INST]' |
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tags: |
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- nlp |
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- chinese |
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- mistral |
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- mixtral |
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- traditional_chinese |
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- merge |
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- mergekit |
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- MediaTek-Research/Breeze-7B-Instruct-v0_1 |
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- beowolx/CodeNinja-1.0-OpenChat-7B |
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- mlabonne/Marcoro14-7B-slerp |
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--- |
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<br/> |
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# 小雨同學 2x7B |
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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。 |
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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。 |
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- v0.2 更新了 tokenizer parameters |
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### Rain-2x7B-MoE-32k-v0.2 |
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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). |
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Model configuration is as follows: |
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* [Marcoro14-7B-slerp](https://huggingface.co./mlabonne/Marcoro14-7B-slerp) as base. |
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* [Breeze-7B-Instruct-v0_1](https://huggingface.co./MediaTek-Research/Breeze-7B-Instruct-v0_1) as model 0. |
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* [CodeNinja-1.0-OpenChat-7B](https://huggingface.co./beowolx/CodeNinja-1.0-OpenChat-7B) as model 1. |
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To use the model, please use either prompt templates suggested by the base models. |
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## Notes |
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Please evaluate before use in any application pipeline. Activation for coding part of the model would be `'code'`, `'python'`, `'typescript'`, `'javascript'`, `'programming'`, `'algorithm'`. |
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