Gemma 2 2B Bg by petkopetkov

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Gemma 2 2B Bg is an open-source language model by petkopetkov. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-...   Bg Dataset:petkopetkov/arc-challe... Dataset:petkopetkov/arc-easy-b...   Dataset:petkopetkov/gsm8k-bg Dataset:petkopetkov/hellaswag-...   Dataset:petkopetkov/math qa-bg   Dataset:petkopetkov/mmlu-bg Dataset:petkopetkov/winogrande...   En   Endpoints compatible   Gemma2   Quantized   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl   Unsloth

Gemma 2 2B Bg Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 2 2B Bg Parameters and Internals

LLM NameGemma 2 2B Bg
Repository 🤗https://huggingface.co/petkopetkov/gemma-2-2b-bg 
Base Model(s)  Gemma 2 2B Bnb 4bit   unsloth/gemma-2-2b-bnb-4bit
Model Size2b
Required VRAM5.2 GB
Updated2025-09-26
Maintainerpetkopetkov
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Supported Languagesen bg
Quantization Type4bit
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.47.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than petkopetkov/gemma-2-2b-bg.

Rank the Gemma 2 2B Bg 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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Release v20260328a