Instructions to use EllieS/zephyr-7b-dpo-lora-pubmedqa-ultrafeedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EllieS/zephyr-7b-dpo-lora-pubmedqa-ultrafeedback with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alignment-handbook/zephyr-7b-sft-full") model = PeftModel.from_pretrained(base_model, "EllieS/zephyr-7b-dpo-lora-pubmedqa-ultrafeedback") - Notebooks
- Google Colab
- Kaggle
Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_EllieS__zephyr-7b-dpo-lora-pubmedqa-ultrafeedback)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |58.62|
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|AI2 Reasoning Challenge (25-Shot)|60.49|
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|HellaSwag (10-Shot) |83.13|
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|MMLU (5-Shot) |60.58|
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|TruthfulQA (0-shot) |44.79|
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|Winogrande (5-shot) |76.24|
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|GSM8k (5-shot) |26.46|
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