What are the hardware requirements for Gemma 2 Ataraxy V4 Advanced 9B?

Gemma 2 Ataraxy V4 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 V4 Advanced 9B and how large is it?

Gemma 2 Ataraxy V4 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 V4 Advanced 9B?

Gemma 2 Ataraxy V4 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 V4 Advanced 9B by lemon07r — VRAM 20.4GB, 8K context

Name: Gemma 2 Ataraxy V4 Advanced 9B
Author: lemon07r

Gemma 2 Ataraxy V4 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:zelk12/recoilme-gem... Conversational Endpoints compatible Gemma2 Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B

Gemma 2 Ataraxy V4 Advanced 9B Parameters and Internals

Additional Notes

This model was created using mergekit and utilizes the SLERP merge method with specific configurations for self attention, MLP, and model slices.

LLM Name	Gemma 2 Ataraxy V4 Advanced 9B
Repository 🤗	https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B
Base Model(s)	Gemma 2 Ataraxy V3 Advanced 9B zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25 lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
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 V4 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 V4 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-v4-Advanced-9B.