argilla/distilabel-intel-orca-dpo-pairs
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How to use eren23/DistilHermes-2.5-Mistral-7B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="eren23/DistilHermes-2.5-Mistral-7B") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("eren23/DistilHermes-2.5-Mistral-7B")
model = AutoModelForCausalLM.from_pretrained("eren23/DistilHermes-2.5-Mistral-7B", device_map="auto")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
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 |