| Model Type | | text generation, function calling |
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| Use Cases |
| Areas: | | generalist applications, conversational AI, function calling |
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| Applications: | | AI development with limited resources, improved instruction-following and QA |
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| Primary Use Cases: | | Instruction-following, Knowledge-driven QA, Reasoning, Truthful answer generation, Function calling |
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| Additional Notes | | The model supports integration with libraries like Transformers, vLLM, and LitGPT. |
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| Supported Languages | |
| Training Details |
| Data Sources: | |
| Data Volume: | | 1 million high-quality selected examples |
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| Methodology: | | Spectrum-based targeted fine-tuning with 50% of layers frozen, SLERP method for model merging |
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| Model Architecture: | |
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| Input Output |
| Input Format: | |
| Accepted Modalities: | |
| Output Format: | |
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| Release Notes |
| Version: | |
| Notes: | | Llama-3.1-Storm-8B base version |
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| Version: | |
| Notes: | | Llama-3.1-Storm-8B-FP8-Dynamic variant |
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| Version: | |
| Notes: | | Llama-3.1-Storm-8B-GGUF format |
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