What are the hardware requirements for Gemma 2 2B TitanFusion?

Gemma 2 2B TitanFusion requires approximately 6.4 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 2B TitanFusion and how large is it?

Gemma 2 2B TitanFusion is developed by bunnycore, a model with 2b 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 2B TitanFusion?

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

Gemma 2 2B TitanFusion by bunnycore — VRAM 6.4GB, 8K context

Name: Gemma 2 2B TitanFusion
Author: bunnycore

Gemma 2 2B TitanFusion is an open-source language model by bunnycore. Features: 2b LLM, VRAM: 6.4GB, Context: 8K, Merged, LLM Explorer Score: 0.14.

Merged Model Arxiv:2403.19522 Base model:bunnycore/gemma2-2b... Base model:bunnycore/gemma2-2b... Base model:bunnycore/gemma2-2b... Base model:bunnycore/gemma2-2b... Base model:ilyagusev/gemma-2-2... Base model:minniemin/gemma-2-2... Base model:saisexperiments/gem... Base model:saisexperiments/gem... Conversational Endpoints compatible Gemma2 Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Gemma-2-2b-TitanFusion

Gemma 2 2B TitanFusion Parameters and Internals

Model Type

Language Model, Merged Model

Additional Notes

This is a merge of pre-trained language models using mergekit.

Training Details

Methodology:

The model was created using the Model Stock merge method from multiple base models for language processing.

LLM Name	Gemma 2 2B TitanFusion
Repository 🤗	https://huggingface.co/bunnycore/Gemma-2-2b-TitanFusion
Base Model(s)	Gemma2 2B Chaos Gemma2 2B Evol Lora Gemma 2 2B Stheno Filtered Gemma2 2B Evol Lora Gemma 2 2B Opus Instruct Gemma2 2B Evol Lora Gemma 2 2B It ThinkLink Gemma2 2B Code Lora Gemma 2 2B It Abliterated Gemma2 2B Mixed Gemma2 2B Evol Lora Gemma 2 2B It CoT It SFT Gemma 2 2B It Abliterated Gemma2 2B Code Lora bunnycore/Gemma2-2B-Chaos bunnycore/Gemma2-2b-Evol-lora SaisExperiments/Gemma-2-2B-Stheno-Filtered bunnycore/Gemma2-2b-Evol-lora SaisExperiments/Gemma-2-2B-Opus-Instruct bunnycore/Gemma2-2b-Evol-lora MinnieMin/gemma-2-2b-it-ThinkLink bunnycore/Gemma2-2b-code-lora IlyaGusev/gemma-2-2b-it-abliterated bunnycore/Gemma2-2B-mixed bunnycore/Gemma2-2b-Evol-lora RyanYr/gemma-2-2b-it_CoT-it_SFT IlyaGusev/gemma-2-2b-it-abliterated bunnycore/Gemma2-2b-code-lora
Merged Model	Yes
Model Size	2b
Required VRAM	6.4 GB
Updated	2026-06-08
Maintainer	bunnycore
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Gemma 2 2B TitanFusion 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 2B TitanFusion

Best Alternatives	Context / RAM	Downloads	Likes
SJT 2B	128K / 5.2 GB	16	0
SILMA Kashif 2B Instruct V1.0	12K / 5.2 GB	992	24
...mma 2 2B Jpn It Finetuning Sft	8K / 5.2 GB	14	0
Gemma 2 2B It	8K / 5.2 GB	10	0
Gemma 2 2B It	8K / 5.2 GB	593671	1437
Gemma 2 2B It	8K / 5.2 GB	18991	19
Gemma 2B It Gen Poem	8K / 5.2 GB	2	1
Aetheris Core 2B	8K / 5.3 GB	406	1
Gemma 2 2B Legal Sft V2	8K / 5.2 GB	155	0
Gemma 2 2B	8K / 10.5 GB	218629	685

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Gemma-2-2b-TitanFusion.