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Chihiro-7B-v0.1-GGUF

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.MD is 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:

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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GGUF
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llama
Inference Examples
Inference API (serverless) has been turned off for this model.