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---
inference: false
language:
- zh
- en
license: unknown
model_name: Chihiro-7B-v0.1
pipeline_tag: text-generation
prompt_template: '<s> SYS_PROMPT [INST] QUERY1 [/INST] RESPONSE1 [INST] QUERY2 [/INST]'
tags:
- nlp
- chinese
- mistral
- traditional_chinese
- merge
- mergekit
- MediaTek-Research/Breeze-7B-Instruct-v0_1
- mlabonne/Zebrafish-7B
---
<br/>
# 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](https://huggingface.co/yuuko-eth/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](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1) as base.
* [Zebrafish-7B](https://huggingface.co/mlabonne/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.
<br/><br/>
### Benchmarks
Evaluation suite: OpenLLM
| Model | ARC |HellaSwag| MMLU |TruthfulQA|Winogrande|GSM8K|
|-------------------------------------------------------------------|----:|--------:|--------------------------|---------:|---------:|----:|
|[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|
Evaluation suite: Nous
| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|-------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|[Chihiro-7B-v0.1](https://huggingface.co/yuuko-eth/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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