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SFT Fft DARE by skarnam

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SFT Fft DARE is an open-source language model by skarnam. Features: 2b LLM, VRAM: 5.3GB, Context: 8K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2311.03099 Base model:google/gemma-2-2b-i...   Base model:skarnam/sft fft   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/skarnam/SFT_fft_DARE 

SFT Fft DARE Benchmarks

LLME Score: 0.18831
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 (skarnam/SFT_fft_DARE)
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SFT Fft DARE Parameters and Internals

LLM NameSFT Fft DARE
Repository 🤗https://huggingface.co/skarnam/SFT_fft_DARE 
Base Model(s)  Gemma 2 2B It   SFT Fft   google/gemma-2-2b-it   skarnam/SFT_fft
Merged ModelYes
Model Size2b
Required VRAM5.3 GB
Updated2025-12-26
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 Version4.51.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

Best Alternatives to SFT Fft DARE

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...mma 2 2B Jpn It Finetuning Sft8K / 5.2 GB50
Gemma 2 2B It8K / 5.2 GB3795161322
Gemma 2 2B It8K / 5.2 GB70
Gemma 2 2B8K / 10.5 GB475407636
Gemma 2 2B Jpn It8K / 5.2 GB24326215
Gemma2Slerp2 2.6B8K / 5.3 GB1152
...emma 2 2B It Chinese Kyara DPO8K / 15.7 GB192614
... 2B It Alpaca Cleaned SFT 10248K / 5.2 GB2740
Note: green Score (e.g. "73.2") means that the model is better than skarnam/SFT_fft_DARE.

Rank the SFT Fft DARE Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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