What are the hardware requirements for Gemma System 9B?

Gemma System 9B 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 System 9B and how large is it?

Gemma System 9B is developed by Gunulhona, 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 System 9B?

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

Gemma System 9B by Gunulhona — VRAM 18.6GB, 8K context

Name: Gemma System 9B
Author: Gunulhona

Gemma System 9B is an open-source language model by Gunulhona. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, Merged, LLM Explorer Score: 0.15.

Merged Model Arxiv:2403.19522 Base model:anthracite-org/magn... Base model:gunulhona/gemma-ko-... Base model:insait-institute/bg... Base model:lemon07r/gemma-2-at... Base model:metin/gemma-2-9b-it... Base model:princeton-nlp/gemma... Base model:thedrummer/tiger-ge... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Gunulhona/Gemma-System-9B

Gemma System 9B Parameters and Internals

LLM Name	Gemma System 9B
Repository 🤗	https://huggingface.co/Gunulhona/Gemma-System-9B
Base Model(s)	Gemma Ko Merge Gemma 2 9B It SimPO Gemma 2 9B It TR DPO V1 Magnum V3 9B Customgemma2 Gemma 2 Ataraxy 9B Tiger Gemma 9B V3 INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0 Gunulhona/Gemma-Ko-Merge princeton-nlp/gemma-2-9b-it-SimPO Metin/Gemma-2-9b-it-TR-DPO-V1 anthracite-org/magnum-v3-9b-customgemma2 lemon07r/Gemma-2-Ataraxy-9B TheDrummer/Tiger-Gemma-9B-v3 INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
Merged Model	Yes
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-07-01
Maintainer	Gunulhona
Model Type	gemma2
Model Files	1.8 GB: 1-of-18 1.0 GB: 2-of-18 1.0 GB: 3-of-18 1.0 GB: 4-of-18 1.0 GB: 5-of-18 1.0 GB: 6-of-18 1.0 GB: 7-of-18 1.0 GB: 8-of-18 1.0 GB: 9-of-18 1.0 GB: 10-of-18 1.0 GB: 11-of-18 1.0 GB: 12-of-18 1.0 GB: 13-of-18 1.0 GB: 14-of-18 1.0 GB: 15-of-18 1.0 GB: 16-of-18 1.0 GB: 17-of-18 0.8 GB: 18-of-18
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma System 9B 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 System 9B

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 Gunulhona/Gemma-System-9B.