Chihiro-7B-v0.1-GGUF
- Model creator: yuuko-eth
- Original model: Chihiro-7B-v0.1
Description
This repo contains GGUF format model files for Chihiro-7B-v0.1.
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. The source project for GGUF. Offers a CLI and a server option.
- text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
- KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
- GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
- LM Studio, 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, a great web UI with many interesting and unique features, including a full model library for easy model selection.
- 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, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
- candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
- 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.MDis as follows.
千尋 7B v0.1
Zebrafish 7B 加上 Breeze 7B 的 slerp merge 試驗性通用繁中基座模型 📚
GGUF Quants 👉 Chihiro-7B-v0.1-GGUF
請用 Mistral 7B Instruct 或是 Breeze 7B Instruct 所推薦的 Prompt 格式進行操作；以下為模型配置。
Chihiro 7B v0.1
This is an experimental Mistral-architecture SLERP merge with two brilliant base models. Zebrafish and Breeze were used together in this work.
Model configuration is as follows:
- Breeze-7B-Instruct as base.
- Zebrafish-7B as model 1.
To use the model, please use either prompt templates suggested by the base models, or just slap the Mistral one on.
Benchmarks
Evaluation suite: OpenLLM
| Model | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| Chihiro-7B-v0.1 | 68.52 | 85.95 | (not yet evaluated) | 63.81 | 81.77 | 64.22 |
Evaluation suite: Nous
| Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
|---|---|---|---|---|---|
| Chihiro-7B-v0.1 | 45.16 | 75.26 | 63.82 | 47.38 | 57.91 |
Average: 47.38%
Average score: 57.91%
Evaluated Apr. 27, 2024, NVIDIA RTX 4090
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