stvlynn_-_Gemma-2-2b-Chinese-it-gguf – AI Model by RichardErkhov | AlphaNeural AI

You can deploy this model and start earning money today!

RichardErkhov/
stvlynn_-_Gemma-2-2b-Chinese-it-gguf

like

0

endpoints_compatible

Views

No views yet

Quantization made by Richard Erkhov.

Request more models

Gemma-2-2b-Chinese-it - GGUF

Model creator: https://huggingface.co/stvlynn/
Original model: https://huggingface.co/stvlynn/Gemma-2-2b-Chinese-it/

Name	Quant method	Size
Gemma-2-2b-Chinese-it.Q2_K.gguf	Q2_K	1.15GB
Gemma-2-2b-Chinese-it.IQ3_XS.gguf	IQ3_XS	1.22GB
Gemma-2-2b-Chinese-it.IQ3_S.gguf	IQ3_S	1.27GB
Gemma-2-2b-Chinese-it.Q3_K_S.gguf	Q3_K_S	1.27GB
Gemma-2-2b-Chinese-it.IQ3_M.gguf	IQ3_M	1.3GB
Gemma-2-2b-Chinese-it.Q3_K.gguf	Q3_K	1.36GB
Gemma-2-2b-Chinese-it.Q3_K_M.gguf	Q3_K_M	1.36GB
Gemma-2-2b-Chinese-it.Q3_K_L.gguf	Q3_K_L	1.44GB
Gemma-2-2b-Chinese-it.IQ4_XS.gguf	IQ4_XS	1.47GB
Gemma-2-2b-Chinese-it.Q4_0.gguf	Q4_0	1.52GB
Gemma-2-2b-Chinese-it.IQ4_NL.gguf	IQ4_NL	1.53GB
Gemma-2-2b-Chinese-it.Q4_K_S.gguf	Q4_K_S	1.53GB
Gemma-2-2b-Chinese-it.Q4_K.gguf	Q4_K	1.59GB
Gemma-2-2b-Chinese-it.Q4_K_M.gguf	Q4_K_M	1.59GB
Gemma-2-2b-Chinese-it.Q4_1.gguf	Q4_1	1.64GB
Gemma-2-2b-Chinese-it.Q5_0.gguf	Q5_0	1.75GB
Gemma-2-2b-Chinese-it.Q5_K_S.gguf	Q5_K_S	1.75GB
Gemma-2-2b-Chinese-it.Q5_K.gguf	Q5_K	1.79GB
Gemma-2-2b-Chinese-it.Q5_K_M.gguf	Q5_K_M	1.79GB
Gemma-2-2b-Chinese-it.Q5_1.gguf	Q5_1	1.87GB
Gemma-2-2b-Chinese-it.Q6_K.gguf	Q6_K	2.0GB
Gemma-2-2b-Chinese-it.Q8_0.gguf	Q8_0	2.59GB

Original model description:

license: gpl-3.0 datasets:

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

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

Usage

see Google's doc:

google/gemma-2-2b-it

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

Twitter @stv_lynn

Telegram @stvlynn