What are the hardware requirements for Gemma 2 9B Chinese Chat?

Gemma 2 9B Chinese Chat requires approximately 18.6 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2 9B Chinese Chat and how large is it?

Gemma 2 9B Chinese Chat is developed by shenzhi-wang, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 2 9B Chinese Chat?

Gemma 2 9B Chinese Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B Chinese Chat by shenzhi-wang — VRAM 18.6GB, 8K context

Name: Gemma 2 9B Chinese Chat
Author: shenzhi-wang

Gemma 2 9B Chinese Chat is an open-source language model by shenzhi-wang. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.14.

Arxiv:2403.07691 Base model:google/gemma-2-9b-i... Base model:quantized:google/ge... Conversational Deploy:azure Doi:10.57967/hf/2667 En Endpoints compatible Gemma2 Gguf Llama-factory Orpo Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/shenzhi-wang/Gemma-2-9B-Chinese-Chat

Gemma 2 9B Chinese Chat Parameters and Internals

Model Type

text-generation

Additional Notes

The model significantly improves language response issues from its base model, particularly with reducing mixed-language responses and enhancing abilities in roleplay, tool using, and math.

Supported Languages

en (advanced), zh (advanced)

Training Details

Methodology:

ORPO

Context Length:

8192

Release Notes

Version:

1.0

Date:

2024-06-30

Notes:

Introduced Gemma-2-9B-Chinese-Chat, the first instruction-tuned language model for Chinese & English users with capabilities in roleplaying and tool-using.

LLM Name	Gemma 2 9B Chinese Chat
Repository 🤗	https://huggingface.co/shenzhi-wang/Gemma-2-9B-Chinese-Chat
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-08-04
Maintainer	shenzhi-wang
Model Type	gemma2
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
Supported Languages	en zh
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B Chinese Chat capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Gemma 2 9B Chinese Chat

Model	Likes	Downloads	VRAM
...a 2 9B Chinese Chat Uncensored	30	874	18 GB
Gemma 2 9B Chinese Chat GGUF	3	253	3 GB
Gemma 2 9B Chinese Chat GGUF	0	152	3 GB

Best Alternatives to Gemma 2 9B Chinese Chat

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0
Gemma 2 9B	8K / 37.1 GB	95888	717

Note: green Score (e.g. "73.2") means that the model is better than shenzhi-wang/Gemma-2-9B-Chinese-Chat.