README.md

---

license: gpl-3.0
datasets:
- LooksJuicy/ruozhiba
- hfl/ruozhiba_gpt4
language:
- zh
pipeline_tag: text-generation
base_model: google/gemma-2-2b-it

---

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)

# QuantFactory/Gemma-2-2b-Chinese-it-GGUF
This is quantized version of [stvlynn/Gemma-2-2b-Chinese-it](https://huggingface.co/stvlynn/Gemma-2-2b-Chinese-it) created using llama.cpp

# Original Model Card


# Gemma-2-2b-Chinese-it (Gemma-2-2b-中文)

## Intro

`Gemma-2-2b-Chinese-it` used approximately 6.4k rows of ruozhiba dataset to fine-tune `Gemma-2-2b-it`.

`Gemma-2-2b-中文`使用了约6.4k弱智吧数据对`Gemma-2-2b-it`进行微调

## Demo

![](https://cdn.statically.io/gh/stvlynn/cloudimg@master/blog/2310/截屏2024-08-02-18.30.52.6teztosrjkk0.webp)

![](https://cdn.statically.io/gh/stvlynn/cloudimg@master/blog/2310/截屏2024-08-02-19.01.08.1kn7flx72kxs.webp)

![](https://cdn.statically.io/gh/stvlynn/cloudimg@master/blog/2310/截屏2024-08-02-19.01.25.3pgymmim6v80.webp)

## Usage

see Google's doc:

[google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it)

---

If you have any questions or suggestions, feel free to contact me.

[Twitter @stv_lynn](https://x.com/stv_lynn)

[Telegram @stvlynn](https://t.me/stvlynn)

[email [email protected]](mailto://[email protected])