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SFT Fft DARE Resta by skarnam

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SFT Fft DARE Resta is an open-source language model by skarnam. Features: 2b LLM, VRAM: 5.3GB, Context: 8K, LLM Explorer Score: 0.2.

  Arxiv:2203.05482   Autotrain compatible Base model:merge:skarnam/gemma... Base model:merge:skarnam/sft f... Base model:skarnam/gemma-2-2b-... Base model:skarnam/sft fft dar...   Conversational   Endpoints compatible   Gemma2   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/skarnam/SFT_fft_DARE_Resta 

SFT Fft DARE Resta Benchmarks

LLME Score: 0.20235
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SFT Fft DARE Resta (skarnam/SFT_fft_DARE_Resta)
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SFT Fft DARE Resta Parameters and Internals

LLM NameSFT Fft DARE Resta
Repository 🤗https://huggingface.co/skarnam/SFT_fft_DARE_Resta 
Base Model(s)  SFT Fft DARE   skarnam/gemma-2-2b-safety_vector   skarnam/SFT_fft_DARE   skarnam/gemma-2-2b-safety_vector
Model Size2b
Required VRAM5.3 GB
Updated2025-09-23
Maintainerskarnam
Model Typegemma2
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 ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.47.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to SFT Fft DARE Resta

Best Alternatives
Context / RAM
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SJT 2B128K / 5.2 GB60
SILMA Kashif 2B Instruct V1.012K / 5.2 GB703018
...mma 2 2B Jpn It Finetuning Sft8K / 5.2 GB50
Gemma 2 2B It8K / 5.2 GB421819908
Gemma 2 2B8K / 10.5 GB182986487
Gemma 2 2B Jpn It8K / 5.2 GB31644203
... 2B It Alpaca Cleaned SFT 10248K / 5.2 GB2740
Gemma2Slerp2 2.6B8K / 5.3 GB62
...emma 2 2B It Chinese Kyara DPO8K / 15.7 GB192614
Gemma2Slerp1 2.6B8K / 5.3 GB60
Note: green Score (e.g. "73.2") means that the model is better than skarnam/SFT_fft_DARE_Resta.

Rank the SFT Fft DARE Resta Capabilities

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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  

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