Llama-3.1-Storm-8B
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Model Type | Language Model |
| Architecture | Llama-3.1 |
| License | llama3.1 |
| Supported Languages | 8 (en, de, fr, it, pt, hi, es, th) |
What is Llama-3.1-Storm-8B?
Llama-3.1-Storm-8B is an advanced language model that builds upon Meta's Llama-3.1-8B-Instruct, delivering significant improvements across multiple benchmarks. The model was developed through a three-step process including self-curation of 1 million high-quality examples, targeted fine-tuning using the Spectrum method, and model merging with Llama-Spark using SLERP methodology.
Implementation Details
The model utilizes BF16 tensor type and incorporates advanced techniques for optimal performance. It's designed with both conversational and function-calling capabilities, making it versatile for various applications.
- Improved instruction following with +3.93% on IFEval Strict
- Enhanced knowledge-driven QA with +7.21% on GPQA
- Superior function calling with +7.92% on BFCL Overall Accuracy
- Reduced hallucinations with +9% on TruthfulQA
Core Capabilities
- Multi-lingual support across 8 languages
- Advanced reasoning and knowledge retrieval
- Function calling with structured output
- Improved truthfulness and reduced hallucinations
- Efficient instruction following and task completion
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its balanced improvement across multiple capabilities, particularly in instruction following, knowledge retrieval, and function calling, while maintaining efficient performance at 8B parameters.
Q: What are the recommended use cases?
The model excels in conversational AI, function calling applications, knowledge-based Q&A, and tasks requiring careful reasoning and truthful responses. It's particularly suitable for developers working with limited computational resources.
