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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