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Gemma2b Turkish Instruction by erythropygia

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Model Card on HF 🤗: https://huggingface.co/erythropygia/Gemma2b-Turkish-Instruction 

Gemma2b Turkish Instruction Benchmarks

LLME Score: 0.1617
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2b Turkish Instruction (erythropygia/Gemma2b-Turkish-Instruction)

Gemma2b Turkish Instruction Parameters and Internals

Model Type 
text generation
Supported Languages 
Turkish (Proficient)
Training Details 
Data Sources:
Turkish Instruction-Response pairs
Data Volume:
~75k instances
Methodology:
Fine-tuning with LoRA
Context Length:
1024
LLM NameGemma2b Turkish Instruction
Repository 🤗https://huggingface.co/erythropygia/Gemma2b-Turkish-Instruction 
Model Size2b
Required VRAM5.1 GB
Updated2025-05-16
Maintainererythropygia
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagestr
Model ArchitectureGemmaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than erythropygia/Gemma2b-Turkish-Instruction.

Rank the Gemma2b Turkish Instruction 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 v20241227
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