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AraGemma2B Instruct by HeshamHaroon

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AraGemma2B Instruct is an open-source language model by HeshamHaroon. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.12.

  Ar   Conversational Dataset:yasbok/alpaca arabic i...   Endpoints compatible   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HeshamHaroon/araGemma2B-instruct 

AraGemma2B Instruct Benchmarks

LLME Score: 0.12206
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AraGemma2B Instruct (HeshamHaroon/araGemma2B-instruct)
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AraGemma2B Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model card has been automatically generated.
Supported Languages 
Arabic (NLP)
LLM NameAraGemma2B Instruct
Repository 🤗https://huggingface.co/HeshamHaroon/araGemma2B-instruct 
Model Size2b
Required VRAM5.1 GB
Updated2026-04-10
MaintainerHeshamHaroon
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesar
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

Quantized Models of the AraGemma2B Instruct

Model
Likes
Downloads
VRAM
Gemma 2B Instruct0405 GB

Best Alternatives to AraGemma2B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Gita SastraGPT V18K / 5.1 GB81
Pandas Tutor Gemma 2B8K / 5.1 GB41
... 2B Finetuned Sft Navarasa 2.08K / 10 GB12225
...ma Code Instruct Finetune Test8K / 5.1 GB50
Gemma 2B Sft Preview8K / 5 GB90
Leniachat Gemma 2B V08K / 15.1 GB8114
...ma Instruct Finetune On Alpaca8K / 5.1 GB70
...ma Code Instruct Finetune Test8K / 5.1 GB100
Gemma 2B Persona Instruct8K / 5.1 GB50
...ma Code Instruct Finetune Test8K / 5.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than HeshamHaroon/araGemma2B-instruct.

Rank the AraGemma2B Instruct 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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