What are the hardware requirements for Gemma 9B Base?

Gemma 9B Base requires approximately 20.4 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 9B Base and how large is it?

Gemma 9B Base is developed by Sorawiz, 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 9B Base?

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

Gemma 9B Base by Sorawiz — VRAM 20.4GB, 8K context

Name: Gemma 9B Base
Author: Sorawiz

Gemma 9B Base is an open-source language model by Sorawiz. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.22.

Merged Model Arxiv:2306.01708 Base model:axcxept/ezo-humanit... Base model:epflight/meditron3-... Base model:fuseai/fusechat-gem... Base model:prithivmlmods/gwq-9... Base model:rombo-org/rombo-llm... Base model:wiroai/wiroai-finan... Base model:zelk12/mt2-gen6-gem... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sorawiz/Gemma-9B-Base

Gemma 9B Base Parameters and Internals

LLM Name	Gemma 9B Base
Repository 🤗	https://huggingface.co/Sorawiz/Gemma-9B-Base
Base Model(s)	FuseChat Gemma 2 9B Instruct Rombo-Org/Rombo-LLM-V2.7-gemma-2-9b WiroAI Finance Gemma 9B Meditron3 Gemma2 9B MT2 Gen6 Gemma 2 9B GWQ 9B Preview2 EZO Humanities 9B Gemma 2 It FuseAI/FuseChat-Gemma-2-9B-Instruct Rombo-Org/Rombo-LLM-V2.7-gemma-2-9b WiroAI/WiroAI-Finance-Gemma-9B OpenMeditron/Meditron3-Gemma2-9B zelk12/MT2-Gen6-gemma-2-9B prithivMLmods/GWQ-9B-Preview2 AXCXEPT/EZO-Humanities-9B-gemma-2-it
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-07-23
Maintainer	Sorawiz
Model Type	gemma2
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 0.5 GB: 5-of-5
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 9B Base 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 9B Base

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 Sorawiz/Gemma-9B-Base.