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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
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fairseq-dense-355M - bnb 4bits
- Model creator: https://huggingface.co/KoboldAI/
- Original model: https://huggingface.co/KoboldAI/fairseq-dense-355M/
Original model description:
---
language: en
---
This is a Hugging Face transformers-compatible conversion of the original dense 355M-parameter model from the paper "[Efficient Large Scale Language Modeling with Mixtures of Experts](https://arxiv.org/abs/2112.10684)" from Artetxe et al. Please refer to the original model card, which can be found at https://github.com/facebookresearch/fairseq/blob/main/examples/moe_lm/model_card.md.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__fairseq-dense-355M)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 27.99 |
| ARC (25-shot) | 25.43 |
| HellaSwag (10-shot) | 46.67 |
| MMLU (5-shot) | 25.3 |
| TruthfulQA (0-shot) | 39.19 |
| Winogrande (5-shot) | 52.88 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 6.48 |
|