What are the hardware requirements for RESTA Sft Dare Full Ft?

RESTA Sft Dare Full Ft 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 RESTA Sft Dare Full Ft and how large is it?

RESTA Sft Dare Full Ft is developed by priyanshi27dixit, 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 RESTA Sft Dare Full Ft?

RESTA Sft Dare Full Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RESTA Sft Dare Full Ft by priyanshi27dixit — VRAM 10.5GB, 8K context

Name: RESTA Sft Dare Full Ft
Author: priyanshi27dixit

RESTA Sft Dare Full Ft is an open-source language model by priyanshi27dixit. Features: 2.6b LLM, VRAM: 10.5GB, Context: 8K, LLM Explorer Score: 0.17.

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

Model Card on HF 🤗: https://huggingface.co/priyanshi27dixit/RESTA_sft_dare_full_ft

RESTA Sft Dare Full Ft Parameters and Internals

LLM Name	RESTA Sft Dare Full Ft
Repository 🤗	https://huggingface.co/priyanshi27dixit/RESTA_sft_dare_full_ft
Model Size	2.6b
Required VRAM	10.5 GB
Updated	2026-07-29
Maintainer	priyanshi27dixit
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	4.50.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the RESTA Sft Dare Full Ft 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 RESTA Sft Dare Full Ft

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
Gemma 2 Full Dare Peft	8K / 10.5 GB	10
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
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 priyanshi27dixit/RESTA_sft_dare_full_ft.