Llama-3-8b-Ita
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Model Type | Transformer-based LLM |
| License | Llama3 |
| Base Model | Meta-Llama-3-8B |
| Precision | BF16 |
What is Llama-3-8b-Ita?
Llama-3-8b-Ita is a specialized Italian language model built on Meta's Llama-3 architecture. This model represents a significant advancement in Italian natural language processing, featuring 8.03 billion parameters and optimized for both Italian and English language tasks.
Implementation Details
Built on the Meta-Llama-3-8B architecture, this model utilizes BF16 precision for efficient computation while maintaining performance. It has been extensively evaluated across multiple benchmarks, showing particularly strong results in Italian language tasks with a notable 75.3% accuracy on IFEval zero-shot testing.
- Supports both Italian and English language processing
- Implements transformer architecture with state-of-the-art performance
- Features comprehensive evaluation metrics across multiple benchmarks
- Available through the Hugging Face Transformers library
Core Capabilities
- Zero-shot inference with 75.3% accuracy on IFEval
- Strong performance on BBH (3-Shot) with 28.08% normalized accuracy
- Specialized Italian language understanding with 58.96% average accuracy on Italian benchmarks
- Efficient text generation and conversation capabilities
Frequently Asked Questions
Q: What makes this model unique?
The model's specialized focus on Italian language processing while maintaining English capabilities sets it apart, along with its impressive performance metrics on Italian-specific benchmarks (hellaswag_it: 65.18%, arc_it: 54.41%).
Q: What are the recommended use cases?
The model is particularly well-suited for Italian language text generation, conversational AI applications, and bilingual (Italian-English) natural language processing tasks. It shows strong performance in both zero-shot and few-shot scenarios.
