71 lines
2.6 KiB
Markdown
71 lines
2.6 KiB
Markdown
---
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license: apache-2.0
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language:
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- it
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- en
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pipeline_tag: text-generation
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datasets:
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- DeepMount00/o1-ITA-REASONING
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- DeepMount00/GPT-4o-ITA-INSTRUCT
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- DeepMount00/Sonnet-3.5-ITA-INSTRUCT
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- DeepMount00/open-perfectblend-ita
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- HuggingFaceTB/cosmopedia
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- DeepMount00/pretraining_multi
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---
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---
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**💡 Found this resource helpful?** Creating and maintaining open source AI models and datasets requires significant computational resources. If this work has been valuable to you, consider [supporting my research](https://buymeacoffee.com/michele.montebovi) to help me continue building tools that benefit the entire AI community. Every contribution directly funds more open source innovation! ☕
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---
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<p align="center">
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<img src="alireo.webp" style="width: 500px; height:500px;"/>
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</p>
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<h2 style="font-size: 32px; text-align: center;">Alireo-400M 🤖 🇮🇹</h2>
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<p style="font-size: 21px; text-align: center;">A Lightweight Italian Language Model</p>
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<h3 style="font-size: 21px; color: #2980b9;">Model Description 📝</h3>
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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.
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<h3 style="font-size: 21px; color: #2980b9;">Key Features ✨</h3>
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* **Architecture**: Transformer-based language model 🏗️
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* **Parameters**: 400M 📊
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* **Context Window**: 8K tokens 🪟
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* **Training Data**: Curated Italian text corpus (books, articles, web content) 📚
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* **Model Size**: ~800MB 💾
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<h3 style="font-size: 21px; color: #2980b9;">Performance 📈</h3>
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Despite its compact size, Alireo-400M demonstrates impressive performance:
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* **Benchmark Results**: Outperforms Qwen 0.5B across multiple benchmarks 🏆
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* **Language Understanding**: Maintains high accuracy in Italian language understanding tasks 🎯
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* **Speed**: Efficient inference speed due to optimized architecture ⚡
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<h3 style="font-size: 21px; color: #2980b9;">Limitations ⚠️</h3>
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* Limited context window compared to larger models
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* May struggle with highly specialized technical content
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* Performance may vary on dialectal variations
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* Not suitable for multilingual tasks
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<h3 style="font-size: 21px; color: #2980b9;">Hardware Requirements 💻</h3>
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* **Minimum RAM**: 2GB
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* **Recommended RAM**: 4GB
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* **GPU**: Optional, but recommended for faster inference
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* **Disk Space**: ~1GB (including model and dependencies)
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<h3 style="font-size: 21px; color: #2980b9;">Citation 📄</h3>
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```bibtex
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@software{alireo2024,
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author = {[Michele Montebovi]},
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title = {Alireo-400M: A Lightweight Italian Language Model},
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year = {2024},
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}
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``` |