---
inference: false
language:
- zh
- en
license: unknown
model_name: Rain-2x7B-MoE-32k-v0.1
pipeline_tag: text-generation
prompt_template: '<s> SYS_PROMPT [INST] QUERY1 [/INST] RESPONSE1 [INST] QUERY2 [/INST]'
quantized_by: yuuko-eth
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
---


# Rain-2x7B-MoE-32k-v0.1
- Model creator: [yuuko-eth](https://huggingface.co/yuuko-eth)
- Original model: [Rain-2x7B-MoE-32k-v0.1](https://huggingface.co/yuuko-eth/Rain-2x7B-MoE-32k-v0.1)

<!-- description start -->
## Description

This repo contains GGUF format model files for [Rain-2x7B-MoE-32k-v0.1](https://huggingface.co/yuuko-eth/Rain-2x7B-MoE-32k-v0.1).

<!-- description end -->

### About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Here is an incomplete list of clients and libraries that are known to support GGUF:
* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.


---

> Original `README.MD` is as follows.

---

# 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-v0.1

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'`.