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fairseq-dense-2.7B – AI Model by KoboldAI | AlphaNeural AI
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KoboldAI
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fairseq-dense-2.7B
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transformers
pytorch
safetensors
xglm
text-generation
en
2112.10684
autotrain_compatible
endpoints_compatible
us
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This is a Hugging Face transformers-compatible conversion of the original dense 2.7B-parameter model from the paper "
Efficient Large Scale Language Modeling with Mixtures of Experts
" 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
Detailed results can be found
here
Metric
Value
Avg.
33.67
ARC (25-shot)
33.79
HellaSwag (10-shot)
65.74
MMLU (5-shot)
26.44
TruthfulQA (0-shot)
34.57
Winogrande (5-shot)
63.93
GSM8K (5-shot)
0.0
DROP (3-shot)
11.24