What are the hardware requirements for Gemmasutra 9B V1?

Gemmasutra 9B V1 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 Gemmasutra 9B V1 and how large is it?

Gemmasutra 9B V1 is developed by TheDrummer, 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 Gemmasutra 9B V1?

Gemmasutra 9B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemmasutra 9B V1 by TheDrummer — VRAM 20.4GB, 8K context

Name: Gemmasutra 9B V1
Rating: 2.5 (2 reviews)
Author: TheDrummer

Gemmasutra 9B V1 is an open-source language model by TheDrummer. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.2.

Merged Model Base model:beaverai/gemmasutra... Base model:beaverai/gemmasutra... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheDrummer/Gemmasutra-9B-v1

Gemmasutra 9B V1 Parameters and Internals

Model Type

RP model

Use Cases

Primary Use Cases:

Engaging Roleplay, Creative responses

Limitations:

Some censorship

Considerations:

Use Tiger Gemma if you want zero refusals as an Assistant / during Instruct mode.

Additional Notes

- Engaging Roleplay with asterisks-capability - Long creative responses - Enhanced moist details - Less mention of the user and more focus on storytelling

Responsible Ai Considerations

Mitigation Strategies:

Refusals allow the AI to roleplay certain behaviors like avoidance, rejection, etc.

Release Notes

Version:

v1c

Notes:

This is an RP-enhanced model with some degree of censorship.

LLM Name	Gemmasutra 9B V1
Repository 🤗	https://huggingface.co/TheDrummer/Gemmasutra-9B-v1
Base Model(s)	BeaverAI/Gemmasutra-9B-v1b BeaverAI/Gemmasutra-9B-v1a BeaverAI/Gemmasutra-9B-v1b BeaverAI/Gemmasutra-9B-v1a
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-07-18
Maintainer	TheDrummer
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	4.42.4
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemmasutra 9B V1 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 Gemmasutra 9B V1

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	8K / 37.1 GB	95888	717
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0

Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Gemmasutra-9B-v1.