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AMead10/Llama-3.1-SuperNova-Lite-AWQ
Llama-3.1-SuperNova-Lite-AWQ is a text generation model from AMead10. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
<div align="center" <img src="https://i.ibb.co/r072p7j/eopi-ZVu-SQ0-G-Cav78-Byq-Tg.png" alt="Llama-3.1-SuperNova-Lite" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0,…
Downloads · 30 days
7
1% of all-time downloads
All-time downloads
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8B
5.7 GB on disk
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.safetensors5.7 GB · 100%
How the weights are stored.
I327B · 87%
From the Hugging Face model README
Llama-3.1-SuperNova-Lite is an 8B parameter model developed by Arcee.ai, based on the Llama-3.1-8B-Instruct architecture. It is a distilled version of the larger Llama-3.1-405B-Instruct model, leveraging offline logits extracted from the 405B parameter variant. This 8B variation of Llama-3.1-SuperNova maintains high performance while offering exceptional instruction-following capabilities and domain-specific adaptability.
The model was trained using a state-of-the-art distillation pipeline and an instruction dataset generated with EvolKit, ensuring accuracy and efficiency across a wide range of tasks. For more information on its training, visit blog.arcee.ai.
Llama-3.1-SuperNova-Lite excels in both benchmark performance and real-world applications, providing the power of large-scale models in a more compact, efficient form ideal for organizations seeking high performance with reduced resource requirements.
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.73 |
| IFEval (0-Shot) | 80.17 |
| BBH (3-Shot) | 31.57 |
| MATH Lvl 5 (4-Shot) | 15.48 |
| GPQA (0-shot) | 7.49 |
| MuSR (0-shot) | 11.67 |
| MMLU-PRO (5-shot) | 31.97 |