Update README.md

README.md

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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。
+
+![](https://i.imgur.com/UwNO4fS.png)
+
+### 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
+
+<br/><br/>