What are the hardware requirements for Gemma 2 9B MOTH?

Gemma 2 9B MOTH requires approximately 37.1 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 9B MOTH and how large is it?

Gemma 2 9B MOTH is developed by sequelbox, 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 9B MOTH?

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

Gemma 2 9B MOTH by sequelbox — VRAM 37.1GB, 8K context

Name: Gemma 2 9B MOTH
Author: sequelbox

Gemma 2 9B MOTH is an open-source language model by sequelbox. Features: 9b LLM, VRAM: 37.1GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.16.

9b Base model:finetune:google/gem... Base model:google/gemma-2-9b-i... Chat Conversational Dataset:sequelbox/supernova En Gemma Gemma-2 Gemma-2-9b-it Gemma-2-it Gemma2 General Instruct Model-index Moth Region:us Safetensors Sharded Supernova Tensorflow

Model Card on HF 🤗: https://huggingface.co/sequelbox/gemma-2-9B-MOTH

Gemma 2 9B MOTH Benchmarks

LLME Score: 0.16118

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 2 9B MOTH (sequelbox/gemma-2-9B-MOTH)

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Gemma 2 9B MOTH Parameters and Internals

LLM Name	Gemma 2 9B MOTH
Repository 🤗	https://huggingface.co/sequelbox/gemma-2-9B-MOTH
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	37.1 GB
Updated	2026-05-12
Maintainer	sequelbox
Model Type	gemma2
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-8 5.0 GB: 2-of-8 5.0 GB: 3-of-8 4.9 GB: 4-of-8 5.0 GB: 5-of-8 5.0 GB: 6-of-8 5.0 GB: 7-of-8 2.4 GB: 8-of-8
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<eos>
Vocabulary Size	256000
Torch Data Type	float32

Best Alternatives to Gemma 2 9B MOTH

Best Alternatives	Context / RAM	Downloads	Likes
Gigantes V2 Gemma2 9B It	8K / 18.6 GB	26	1
...2 9B Cpt Sahabatai V1 Instruct	8K / 18.6 GB	459	47
Gemma Evo 10B	8K / 20.4 GB	31	5
Gigantes V3 Gemma2 9B It	8K / 18.6 GB	10	0
Gigantes V1 Gemma2 9B It	8K / 18.6 GB	5	2
SILMA 9B Instruct V1.0	8K / 18.6 GB	1465	85
Magnum V4 9B	8K / 18.6 GB	39	19
Odin 9B	8K / 18.6 GB	7	5
...B IT Simpo Infinity Preference	8K / 18.6 GB	23	17
GaMS 9B Instruct	8K / 18.6 GB	1633	2

Note: green Score (e.g. "73.2") means that the model is better than sequelbox/gemma-2-9B-MOTH.

Rank the Gemma 2 9B MOTH Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Gemma 2 9B MOTH by sequelbox

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Gemma 2 9B MOTH Benchmarks

Gemma 2 9B MOTH Parameters and Internals

Best Alternatives to Gemma 2 9B MOTH

Rank the Gemma 2 9B MOTH Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.