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

MT Gemma 2 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 MT Gemma 2 9B and how large is it?

MT Gemma 2 9B is developed by zelk12, 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 MT Gemma 2 9B?

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

MT Gemma 2 9B by zelk12 — VRAM 20.4GB, 8K context

Name: MT Gemma 2 9B
Author: zelk12

MT Gemma 2 9B is an open-source language model by zelk12. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.24.

Merged Model Autotrain compatible Base model:zelk12/mt-bm-gemma-... Base model:zelk12/mt-gimma-gem... Conversational Endpoints compatible Gemma2 Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zelk12/MT-gemma-2-9B

MT Gemma 2 9B Parameters and Internals

Model Type

text-generation

Additional Notes

This model is a merge of MT-BM-gemma-2-9B and MT-GIMMA-gemma-2-9B.

Training Details

Methodology:

SLERP merge method

LLM Name	MT Gemma 2 9B
Repository 🤗	https://huggingface.co/zelk12/MT-gemma-2-9B
Base Model(s)	MT BM Gemma 2 9B MT GIMMA Gemma 2 9B zelk12/MT-BM-gemma-2-9B zelk12/MT-GIMMA-gemma-2-9B
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2025-05-02
Maintainer	zelk12
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	4.45.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the MT Gemma 2 9B 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 MT Gemma 2 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
...ty Gemma2 9b It Swift Remove20	8K / 18.6 GB	179	1
Gemma 2 9B	8K / 37.1 GB	95888	717

Note: green Score (e.g. "73.2") means that the model is better than zelk12/MT-gemma-2-9B.