DeepMount00/Alireo-400m-instruct-v0.1

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Alireo-400M 🤖 🇮🇹

A Lightweight Italian Language Model

Model Description 📝

Alireo-400M is a lightweight yet powerful Italian language model with 400M parameters, designed to provide efficient natural language processing capabilities while maintaining a smaller footprint compared to larger models.

Key Features ✨

• Architecture: Transformer-based language model 🏗️
• Parameters: 400M 📊
• Context Window: 8K tokens 🪟
• Training Data: Curated Italian text corpus (books, articles, web content) 📚
• Model Size: ~800MB 💾

Performance 📈

Despite its compact size, Alireo-400M demonstrates impressive performance:

• Benchmark Results: Outperforms Qwen 0.5B across multiple benchmarks 🏆
• Language Understanding: Maintains high accuracy in Italian language understanding tasks 🎯
• Speed: Efficient inference speed due to optimized architecture ⚡

Limitations ⚠️

• Limited context window compared to larger models
• May struggle with highly specialized technical content
• Performance may vary on dialectal variations
• Not suitable for multilingual tasks

Hardware Requirements 💻

• Minimum RAM: 2GB
• Recommended RAM: 4GB
• GPU: Optional, but recommended for faster inference
• Disk Space: ~1GB (including model and dependencies)

Citation 📄

@software{alireo2024,
  author = {[Michele Montebovi]},
  title = {Alireo-400M: A Lightweight Italian Language Model},
  year = {2024},
}