|
--- |
|
inference: false |
|
language: |
|
- zh |
|
- en |
|
license: unknown |
|
model_name: Monsoon-7B-exp-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 |
|
- SanjiWatsuki/Silicon-Maid-7B |
|
--- |
|
|
|
|
|
# Monsoon-7B-exp-1 |
|
- Model creator: [yuuko-eth](https://huggingface.co/yuuko-eth) |
|
- Original model: [Monsoon-7B-exp-1](https://huggingface.co/yuuko-eth/Monsoon-7B-exp-1) |
|
|
|
<!-- description start --> |
|
## Description |
|
|
|
This repo contains GGUF format model files for [Monsoon-7B-exp-1](https://huggingface.co/yuuko-eth/Monsoon-7B-exp-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. |
|
|
|
--- |
|
|
|
|
|
<br/> |
|
|
|
# 雨季 7B exp-1 |
|
|
|
Breeze 7B Instruct 與 Silicon-Maid-7B (角扮用) 的 dare-ties merge 試驗性模型。 |
|
|
|
請用 Silicon-Maid-7B 或是 Breeze-7B-Instruct 所推薦的 Prompt 格式進行操作；以下為模型配置。 |
|
|
|
 |
|
|
|
### Monsoon 7B exp-1 |
|
|
|
This is an experimental Mixtral-architecture DARE-TIES merge model of 2x 7B sized fine-tunes. Breeze and Silicon Maid are used together. |
|
|
|
Model configuration is as follows: |
|
|
|
* [Breeze-7B-Instruct](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1) as base. |
|
* [Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) as model 1. |
|
|
|
To use the model, please use either prompt templates suggested by the base models. |
|
|
|
|
|
### Merge Method |
|
|
|
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method. |
|
|
|
|
|
|
