Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,101 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
license: unknown
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
inference: false
|
| 3 |
+
language:
|
| 4 |
+
- zh
|
| 5 |
+
- en
|
| 6 |
license: unknown
|
| 7 |
+
model_name: Chihiro-7B-v0.1
|
| 8 |
+
pipeline_tag: text-generation
|
| 9 |
+
prompt_template: '<s> SYS_PROMPT [INST] QUERY1 [/INST] RESPONSE1 [INST] QUERY2 [/INST]'
|
| 10 |
+
quantized_by: yuuko-eth
|
| 11 |
+
tags:
|
| 12 |
+
- nlp
|
| 13 |
+
- chinese
|
| 14 |
+
- mistral
|
| 15 |
+
- traditional_chinese
|
| 16 |
+
- merge
|
| 17 |
+
- mergekit
|
| 18 |
+
- MediaTek-Research/Breeze-7B-Instruct-v0_1
|
| 19 |
+
- mlabonne/Zebrafish-7B
|
| 20 |
---
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
# Chihiro-7B-v0.1-GGUF
|
| 24 |
+
- Model creator: [yuuko-eth](https://huggingface.co/yuuko-eth)
|
| 25 |
+
- Original model: [Chihiro-7B-v0.1](https://huggingface.co/yuuko-eth/Chihiro-7B-v0.1)
|
| 26 |
+
|
| 27 |
+
<!-- description start -->
|
| 28 |
+
## Description
|
| 29 |
+
|
| 30 |
+
This repo contains GGUF format model files for [Chihiro-7B-v0.1](https://huggingface.co/yuuko-eth/Chihiro-7B-v0.1).
|
| 31 |
+
|
| 32 |
+
<!-- description end -->
|
| 33 |
+
|
| 34 |
+
### About GGUF
|
| 35 |
+
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.
|
| 36 |
+
Here is an incomplete list of clients and libraries that are known to support GGUF:
|
| 37 |
+
* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
|
| 38 |
+
* [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.
|
| 39 |
+
* [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.
|
| 40 |
+
* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
|
| 41 |
+
* [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.
|
| 42 |
+
* [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.
|
| 43 |
+
* [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.
|
| 44 |
+
* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
|
| 45 |
+
* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
|
| 46 |
+
* [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.
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
---
|
| 50 |
+
|
| 51 |
+
> Original `README.MD` is as follows.
|
| 52 |
+
|
| 53 |
+
---
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
<br/>
|
| 57 |
+
|
| 58 |
+
# 千尋 7B v0.1
|
| 59 |
+
|
| 60 |
+
Zebrafish 7B 加上 Breeze 7B 的 slerp merge 試驗性通用繁中基座模型 📚
|
| 61 |
+
|
| 62 |
+
GGUF Quants 👉 [Chihiro-7B-v0.1-GGUF](https://huggingface.co/yuuko-eth/Chihiro-7B-v0.1-GGUF)
|
| 63 |
+
|
| 64 |
+
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。
|
| 65 |
+
|
| 66 |
+

|
| 67 |
+
|
| 68 |
+
### Chihiro 7B v0.1
|
| 69 |
+
|
| 70 |
+
This is an experimental Mistral-architecture SLERP merge with two brilliant base models. Zebrafish and Breeze were used together in this work.
|
| 71 |
+
|
| 72 |
+
Model configuration is as follows:
|
| 73 |
+
|
| 74 |
+
* [Breeze-7B-Instruct](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1) as base.
|
| 75 |
+
* [Zebrafish-7B](https://huggingface.co/mlabonne/Zebrafish-7B) as model 1.
|
| 76 |
+
|
| 77 |
+
To use the model, please use either prompt templates suggested by the base models, or just slap the Mistral one on.
|
| 78 |
+
|
| 79 |
+
<br/><br/>
|
| 80 |
+
|
| 81 |
+
### Benchmarks
|
| 82 |
+
|
| 83 |
+
Evaluation suite: OpenLLM
|
| 84 |
+
| Model | ARC |HellaSwag| MMLU |TruthfulQA|Winogrande|GSM8K|
|
| 85 |
+
|-------------------------------------------------------------------|----:|--------:|--------------------------|---------:|---------:|----:|
|
| 86 |
+
|[Chihiro-7B-v0.1](https://huggingface.co/yuuko-eth/Chihiro-7B-v0.1)|68.52| 85.95| (not yet evaluated) | 63.81| 81.77|64.22|
|
| 87 |
+
|
| 88 |
+
|
| 89 |
+
Evaluation suite: Nous
|
| 90 |
+
| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|
| 91 |
+
|-------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|
| 92 |
+
|[Chihiro-7B-v0.1](https://huggingface.co/yuuko-eth/Chihiro-7B-v0.1)| 45.16| 75.26| 63.82| 47.38| 57.91|
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
Average: 47.38%
|
| 96 |
+
|
| 97 |
+
Average score: 57.91%
|
| 98 |
+
|
| 99 |
+
Evaluated Apr. 27, 2024, NVIDIA RTX 4090
|
| 100 |
+
|
| 101 |
+
<br/><br/>
|