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Gemma 3 Ko by kenonix

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

Gemma 3 Ko Benchmarks

LLME Score: 0.25447
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 3 Ko (kenonix/gemma-3-ko)

Gemma 3 Ko Parameters and Internals

LLM NameGemma 3 Ko
Repository 🤗https://huggingface.co/kenonix/gemma-3-ko 
Base Model(s)  Gemma 3 1B It   unsloth/gemma-3-1b-it
Model Size1b
Required VRAM2 GB
Updated2025-04-30
Maintainerkenonix
Model Typegemma3_text
Model Files  2.0 GB
Supported Languagesen
Model ArchitectureGemma3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.50.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262144
Torch Data Typefloat16

Best Alternatives to Gemma 3 Ko

Best Alternatives
Context / RAM
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Likes
Gemma 3 1B It32K / 2 GB2281057352
Gemma 3 1B Pt32K / 2 GB171173108
Gemma 3 1B It32K / 2 GB482998
...a 3 1B It Qat Int4 Unquantized32K / 2 GB6973
Gemma 3 1B Pt Chkpt V232K / 2 GB480
Gemma 3 1B Pt32K / 2 GB19593
Gemma 3 1B It ONNX32K /  GB56413
Gemma 3 1B It Thinking Sft32K / 2 GB240
Gemma 3 1B Pt Peft32K / 2 GB890
Gemma 3 1B Peft Codealpaca32K / 4 GB410
Note: green Score (e.g. "73.2") means that the model is better than kenonix/gemma-3-ko.

Rank the Gemma 3 Ko 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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Release v20241227
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