What are the hardware requirements for Gemma 2 Ataraxy V3 Advanced 9B?

Gemma 2 Ataraxy V3 Advanced 9B 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 2 Ataraxy V3 Advanced 9B and how large is it?

Gemma 2 Ataraxy V3 Advanced 9B is developed by lemon07r, 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 Ataraxy V3 Advanced 9B?

Gemma 2 Ataraxy V3 Advanced 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 Ataraxy V3 Advanced 9B by lemon07r — VRAM 20.4GB, 8K context

Name: Gemma 2 Ataraxy V3 Advanced 9B
Author: lemon07r

Gemma 2 Ataraxy V3 Advanced 9B is an open-source language model by lemon07r. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:lemon07r/gemma-2-at... Base model:nbeerbower/gemma2-g... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B

Gemma 2 Ataraxy V3 Advanced 9B Parameters and Internals

Additional Notes

This model was created using [mergekit](https://github.com/cg123/mergekit).

Training Details

Methodology:

SLERP merge method

LLM Name	Gemma 2 Ataraxy V3 Advanced 9B
Repository 🤗	https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
Base Model(s)	Gemma 2 Ataraxy Advanced 9B Gemma2 Gutenberg Doppel 9B lemon07r/Gemma-2-Ataraxy-Advanced-9B nbeerbower/Gemma2-Gutenberg-Doppel-9B
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-08-03
Maintainer	lemon07r
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	4.43.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 Ataraxy V3 Advanced 9B 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 Gemma 2 Ataraxy V3 Advanced 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 lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B.