What are the hardware requirements for Gemma 2 Ataraxy Gemmasutra 9B Slerp?

Gemma 2 Ataraxy Gemmasutra 9B Slerp 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 Gemmasutra 9B Slerp and how large is it?

Gemma 2 Ataraxy Gemmasutra 9B Slerp is developed by recoilme, 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 Gemmasutra 9B Slerp?

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

Gemma 2 Ataraxy Gemmasutra 9B Slerp by recoilme — VRAM 20.4GB, 8K context

Name: Gemma 2 Ataraxy Gemmasutra 9B Slerp
Author: recoilme

Gemma 2 Ataraxy Gemmasutra 9B Slerp is an open-source language model by recoilme. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.21.

Merged Model Conversational Deploy:azure Endpoints compatible Gemma2 Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp

Gemma 2 Ataraxy Gemmasutra 9B Slerp Parameters and Internals

Model Type

text-generation

Additional Notes

Based on results published on the Open LLM Leaderboard. Reference results page for more detailed analysis and metrics.

LLM Name	Gemma 2 Ataraxy Gemmasutra 9B Slerp
Repository 🤗	https://huggingface.co/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-08-05
Maintainer	recoilme
Model Type	gemma2
Model Files	1.8 GB: 1-of-19 1.8 GB: 2-of-19 1.0 GB: 3-of-19 1.0 GB: 4-of-19 1.0 GB: 5-of-19 1.0 GB: 6-of-19 1.0 GB: 7-of-19 1.0 GB: 8-of-19 1.0 GB: 9-of-19 1.0 GB: 10-of-19 1.0 GB: 11-of-19 1.0 GB: 12-of-19 1.0 GB: 13-of-19 1.0 GB: 14-of-19 1.0 GB: 15-of-19 1.0 GB: 16-of-19 1.0 GB: 17-of-19 1.0 GB: 18-of-19 0.8 GB: 19-of-19
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 Ataraxy Gemmasutra 9B Slerp 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 2 Ataraxy Gemmasutra 9B Slerp

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 recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp.