DPO Finetuned teknium/OpenHermes-2.5-Mistral-7B using argilla/distilabel-intel-orca-dpo-pairs.
Intel orca dpo pairs is a distilled version: https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
of https://huggingface.co/datasets/Intel/orca_dpo_pairs
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 67.76 |
AI2 Reasoning Challenge (25-Shot) | 65.87 |
HellaSwag (10-Shot) | 84.78 |
MMLU (5-Shot) | 63.65 |
TruthfulQA (0-shot) | 54.24 |
Winogrande (5-shot) | 78.22 |
GSM8k (5-shot) | 59.82 |
- Downloads last month
- 108
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.
Model tree for eren23/DistilHermes-2.5-Mistral-7B
Dataset used to train eren23/DistilHermes-2.5-Mistral-7B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.870
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.780
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.650
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard54.240
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.220
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard59.820