61 Pulls Updated 2 months ago
Updated 2 months ago
2 months ago
d4abaa5f66b9 · 8.5GB
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Overview
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.
Evaluations
We will be submitting this model to the OpenLLM Leaderboard for a more conclusive benchmark - but here are our internal benchmarks using the main branch of lm evaluation harness:
Benchmark | SuperNova-Lite | Llama-3.1-8b-Instruct |
---|---|---|
IF_Eval | 81.1 | 77.4 |
MMLU Pro | 38.7 | 37.7 |
TruthfulQA | 64.4 | 55.0 |
BBH | 51.1 | 50.6 |
GPQA | 31.2 | 29.02 |