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Dolphin-2.0-Nebula-v2-7B

Dolphin-2.0-Nebula-v2-7B is a merge of ehartford/dolphin-2.0-mistral-7b and PulsarAI/Nebula-v2-7B-Lora

Evaluation Results (Open LLM Leaderboard)

Metric Value
Avg.
ARC (25-shot)
HellaSwag (10-shot)
MMLU (5-shot)
TruthfulQA (0-shot)
Winogrande (5-shot)
GSM8K (5-shot)
DROP (3-shot)
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Safetensors
Model size
7.24B params
Tensor type
FP16
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Dataset used to train Weyaxi/Dolphin-2.0-Nebula-v2-7B