OpenHermes-2.5-FLOR-6.3B
OpenHermes-2.5-FLOR-6.3B És el resultat de finetunejar el model FLOR-6.3B amb el fantàstic dataset OpenHermes v2.5.
La millor manera d'usar OpenHermes-2.5-FLOR-6.3B és amb el format ChatML
Quantitzats
Podeu trobar el model quantitzat i en format GGUF a OpenHermes-2.5-FLOR-6.3B-GGUF
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 37.04 |
AI2 Reasoning Challenge (25-Shot) | 33.45 |
HellaSwag (10-Shot) | 54.53 |
MMLU (5-Shot) | 25.18 |
TruthfulQA (0-shot) | 46.12 |
Winogrande (5-shot) | 62.98 |
GSM8k (5-shot) | 0.00 |
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Dataset used to train xaviviro/OpenHermes-2.5-FLOR-6.3B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard33.450
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard54.530
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard25.180
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard46.120
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard62.980
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000