What are the hardware requirements for Gemma 2 9B 8bit?

Gemma 2 9B 8bit requires approximately 9.8 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 8bit and how large is it?

Gemma 2 9B 8bit is developed by mlx-community, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 2 9B 8bit perform on standard benchmarks?

Gemma 2 9B 8bit has the following published scores: LMSYS ELO 1266. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 2 9B 8bit by mlx-community — VRAM 9.8GB, 8K context

Name: Gemma 2 9B 8bit
Author: mlx-community

Gemma 2 9B 8bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 9.8GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.26, ELO: 1266.

8bit Endpoints compatible Gemma2 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-2-9b-8bit

Gemma 2 9B 8bit Benchmarks

LMSys ELO 1266 vs 1272 (so35) -0.5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 2 9B 8bit Parameters and Internals

LLM Name	Gemma 2 9B 8bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-2-9b-8bit
Base Model(s)	Gemma 2 9B It Lora Yt Titles AdamLucek/gemma-2-9b-it-lora-yt-titles
Model Size	9b
Required VRAM	9.8 GB
Updated	2026-07-25
Maintainer	mlx-community
Model Type	gemma2
Model Files	5.3 GB: 1-of-2 4.5 GB: 2-of-2
Quantization Type	8bit
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Gemma 2 9B 8bit 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

Best Alternatives to Gemma 2 9B 8bit

Best Alternatives	Context / RAM	Downloads	Likes
GWQ 9B Preview	8K / 18.6 GB	9	3
Gemma 2 9B 4bit	8K / 5.2 GB	160	2
Gemma 2 9B It Bnb 4bit	8K / 6.1 GB	13007	32
SASTRI 1 9B	8K / 6.1 GB	7	0
Gemma 2 9B Bnb 4bit	8K / 6.1 GB	10605	31
Gemma 2 9B It Finance	8K / 18.6 GB	5	0
Athena Gemma 2 2B It	8K / 23.8 GB	0	2
Gemma 2 9B It 4bit	8K / 5.2 GB	16960	1
Gemma 2 9B It Ko RAG Bnb 4bit	8K / 6.1 GB	155	0
...ma 2 9B It Ko ChatRAG Bnb 4bit	8K / 6.1 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-2-9b-8bit.