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---
license: llama3
datasets:
- arcee-ai/EvolKit-20k
language:
- en
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
---
[](https://hf.co/QuantFactory)
# QuantFactory/Llama-3.1-SuperNova-Lite-GGUF
This is quantized version of [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) created using llama.cpp
# Original Model Card
<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, 0.19); max-width: 100%; height: auto;">
</div>
## 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](https://github.com/arcee-ai/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 |
The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite/blob/main/eval.sh)
# note
This readme will be edited regularly on September 10, 2024 (the day of release). After the final readme is in place we will remove this note.
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