What are the hardware requirements for SFT Fft Resta?

SFT Fft Resta requires approximately 5.3 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 SFT Fft Resta and how large is it?

SFT Fft Resta is developed by skarnam, 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 SFT Fft Resta?

SFT Fft Resta is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SFT Fft Resta by skarnam — VRAM 5.3GB, 8K context

Name: SFT Fft Resta
Author: skarnam

SFT Fft Resta is an open-source language model by skarnam. Features: 2b LLM, VRAM: 5.3GB, Context: 8K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2203.05482 Base model:skarnam/gemma-2-2b-... Base model:skarnam/sft fft Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/skarnam/SFT_fft_Resta

SFT Fft Resta Parameters and Internals

LLM Name	SFT Fft Resta
Repository 🤗	https://huggingface.co/skarnam/SFT_fft_Resta
Base Model(s)	skarnam/gemma-2-2b-safety_vector SFT Fft skarnam/gemma-2-2b-safety_vector skarnam/SFT_fft
Merged Model	Yes
Model Size	2b
Required VRAM	5.3 GB
Updated	2026-07-01
Maintainer	skarnam
Model Type	gemma2
Model Files	1.2 GB: 1-of-6 1.0 GB: 2-of-6 1.0 GB: 3-of-6 1.0 GB: 4-of-6 1.0 GB: 5-of-6 0.1 GB: 6-of-6
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	bfloat16

Rank the SFT Fft Resta 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 SFT Fft Resta

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
Gemma 2 2B Legal Financial Sft	8K / 5.2 GB	297	0
Gemma 2 2B	8K / 10.5 GB	218629	685
Slm Gemma 2B Qa	8K / 5.2 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than skarnam/SFT_fft_Resta.