What are the hardware requirements for Gemma 2 Full Dare Peft?

Gemma 2 Full Dare Peft requires approximately 10.5 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 Full Dare Peft and how large is it?

Gemma 2 Full Dare Peft is developed by Utsav03, a model with 2.6b 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 Full Dare Peft?

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

Gemma 2 Full Dare Peft by Utsav03 — VRAM 10.5GB, 8K context

Name: Gemma 2 Full Dare Peft
Author: Utsav03

Gemma 2 Full Dare Peft is an open-source language model by Utsav03. Features: 2.6b LLM, VRAM: 10.5GB, Context: 8K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:1910.09700 Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Utsav03/gemma-2-full-dare-peft

Gemma 2 Full Dare Peft Parameters and Internals

LLM Name	Gemma 2 Full Dare Peft
Repository 🤗	https://huggingface.co/Utsav03/gemma-2-full-dare-peft
Merged Model	Yes
Model Size	2.6b
Required VRAM	10.5 GB
Updated	2026-08-02
Maintainer	Utsav03
Model Type	gemma2
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 0.5 GB: 3-of-3
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Gemma 2 Full Dare Peft 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 Full Dare Peft

Best Alternatives	Context / RAM	Downloads
Test	8K / 5.2 GB	33
SFT Peft	8K / 5.2 GB	12
SFT Fft	8K / 5.2 GB	8
FFT Model Gemma	8K / 5.2 GB	7
Vera V1.1 Instruct	8K / 5.2 GB	12
SAFETY FULL FT VECTOR	8K / 10.5 GB	11
SAFETY PEFT VECTOR	8K / 10.5 GB	7
RESTA Sft Dare Full Ft	8K / 10.5 GB	5
Gemma2 DARE Sft Peft	8K / 10.5 GB	13
Gemma2 Sft Peft	8K / 5.2 GB	12

Note: green Score (e.g. "73.2") means that the model is better than Utsav03/gemma-2-full-dare-peft.