What are the hardware requirements for Gemma2 9B AdvancedFuse?

Gemma2 9B AdvancedFuse 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 Gemma2 9B AdvancedFuse and how large is it?

Gemma2 9B AdvancedFuse is developed by agentlans, 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 Gemma2 9B AdvancedFuse?

Gemma2 9B AdvancedFuse is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma2 9B AdvancedFuse by agentlans — VRAM 18.6GB, 8K context

Name: Gemma2 9B AdvancedFuse
Author: agentlans

Gemma2 9B AdvancedFuse is an open-source language model by agentlans. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.22.

Base model:finetune:fuseai/fus... Base model:fuseai/fusechat-gem... Dataset:agentlans/crash-course En Gemma2 Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/agentlans/Gemma2-9B-AdvancedFuse

Gemma2 9B AdvancedFuse Parameters and Internals

LLM Name	Gemma2 9B AdvancedFuse
Repository 🤗	https://huggingface.co/agentlans/Gemma2-9B-AdvancedFuse
Base Model(s)	Gemma 2 9B It FuseChat Gemma 2 9B Instruct jsgreenawalt/gemma-2-9B-it-advanced-v2.1 google/gemma-2-9b-it FuseAI/FuseChat-Gemma-2-9B-Instruct jsgreenawalt/gemma-2-9B-it-advanced-v2.1
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-08-05
Maintainer	agentlans
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
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma2 9B AdvancedFuse capabilities

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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 Gemma2 9B AdvancedFuse

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 agentlans/Gemma2-9B-AdvancedFuse.