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Noon 7B by Naseej

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  Ar   Arabic   Autotrain compatible   Bloom   En   Endpoints compatible   Instruct   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Naseej/noon-7b 

Noon 7B Benchmarks

LLME Score: 0.10879
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Noon 7B (Naseej/noon-7b)

Noon 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
text generation, question-answering, mathematical problems solving
Additional Notes 
The Noon model is a 7-billion parameter Arabic Large Language Model.
Supported Languages 
ar (Arabic), en (English)
Training Details 
Data Sources:
Alpaca dataset v2, self-instruct, Databricks instructional dataset, TruthfulQA, Grade School Math, Arabic arithmetic problems
Data Volume:
over 110K records
Methodology:
instruction-tuning
Hardware Used:
8-A100 GPUs
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use recommended hyperparameters, but feel free to try different values
LLM NameNoon 7B
Repository 🤗https://huggingface.co/Naseej/noon-7b 
Model Size7b
Required VRAM32.3 GB
Updated2025-02-22
MaintainerNaseej
Model Typebloom
Model Files  9.9 GB: 1-of-4   9.7 GB: 2-of-4   8.6 GB: 3-of-4   4.1 GB: 4-of-4
Supported Languagesar en
Model ArchitectureBloomForCausalLM
Licensebigscience-bloom-rail-1.0
Transformers Version4.29.2
Tokenizer ClassBloomTokenizerFast
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat32

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Bloom Xp30K / 32.4 GB50
Vietcuna 7B V30K / 14.2 GB1198
Note: green Score (e.g. "73.2") means that the model is better than Naseej/noon-7b.

Rank the Noon 7B 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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