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 |
- Downloads last month
- 80
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
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