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Model After Sft V2 by nosetalgiaULTRA

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Model After Sft V2 is an open-source language model by nosetalgiaULTRA. Features: 1b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:finetune:unsloth/ge... Base model:unsloth/gemma-3-1b-...   Conversational   En   Endpoints compatible   Gemma3 text   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/nosetalgiaULTRA/model_after_sft_v2 

Model After Sft V2 Benchmarks

LLME Score: 0.27427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model After Sft V2 (nosetalgiaULTRA/model_after_sft_v2)
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Model After Sft V2 Parameters and Internals

LLM NameModel After Sft V2
Repository 🤗https://huggingface.co/nosetalgiaULTRA/model_after_sft_v2 
Base Model(s)  Gemma 3 1B It   unsloth/gemma-3-1b-it
Model Size1b
Required VRAM2 GB
Updated2026-04-30
MaintainernosetalgiaULTRA
Model Typegemma3_text
Model Files  2.0 GB
Supported Languagesen
Model ArchitectureGemma3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassGemmaTokenizerFast
Padding Token<pad>
Vocabulary Size262144
Torch Data Typefloat16

Best Alternatives to Model After Sft V2

Best Alternatives
Context / RAM
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Likes
Gemma 3 1B It32K / 2 GB21463922
Gemma3 1B Sft Reasoning 232K / 2.6 GB340
Gemma 3 1B It32K / 2 GB1376992970
Gemma 3 1B Pt32K / 2 GB14626
...Gemma 3 1B It Datav3 Only Mask32K / 2.6 GB37400
... It Wildjailbreak 9K Subsample32K / 2 GB2640
...1B It OpenCode Title Generator32K / 2 GB550
Gemma 3 1B Pt32K / 2 GB140034194
Ganda Gemma Fln Bridge32K / 2 GB5840
Gemma 1b Cares18k32K / 2 GB680
Note: green Score (e.g. "73.2") means that the model is better than nosetalgiaULTRA/model_after_sft_v2.

Rank the Model After Sft V2 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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