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--- |
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base_model: |
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- InferenceIllusionist/Excalibur-7b |
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library_name: transformers |
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tags: |
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- finetune |
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- dpo |
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- chatml |
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- gguf |
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- iMat |
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license: apache-2.0 |
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datasets: |
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- Intel/orca_dpo_pairs |
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--- |
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# Excalibur-7b-DPO-iMat-GGUF |
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<img src="https://i.imgur.com/pbPbqq0.jpeg" width="550"/> |
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Quantized from fp32 with love. |
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iMatrix .dat file was calculated using groups_merged.txt. |
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<b>FP16 available [here](https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO)</b> |
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An initial foray into the world of fine-tuning. The goal of this release was to amplify the quality of the original model's responses, in particular for vision use cases* |
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## Notes & Methodology |
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* [Excalibur-7b](https://huggingface.co/InferenceIllusionist/Excalibur-7b) fine-tuned with Direct Preference Optimization (DPO) using Intel/orca_dpo_pairs |
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* This is a quick experiment to determine the impact of DPO finetuning on the original base model |
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* Ran for a little over an hour on a single A100 |
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* Internal benchmarks showed improvement over base model, awaiting final results |
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* Precision: bfloat16 |
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## Sample Question - Vision |
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<img src="https://i.imgur.com/7aRWtzU.jpeg" width="425"/> |
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*<b>Requires additional mmproj file. You have two options for vision functionality (available inside original repo or linked below):</b> |
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* [Quantized - Limited VRAM Option (197mb)](https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO-GGUF/resolve/main/mistral-7b-mmproj-v1.5-Q4_1.gguf?download=true) |
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* [Unquantized - Premium Option / Best Quality (596mb)](https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO-GGUF/resolve/main/mmproj-model-f16.gguf?download=true) |
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Select the gguf file of your choice in Kobold as usual, then make sure to choose the mmproj file above in the LLaVA mmproj field of the model submenu: |
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<img src="https://i.imgur.com/x8vqH29.png" width="425"/> |
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## Prompt Format |
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* For best results please use ChatML for the prompt format. Alpaca may also work. |
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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_InferenceIllusionist__Excalibur-7b-DPO) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |73.84| |
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|AI2 Reasoning Challenge (25-Shot)|70.90| |
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|HellaSwag (10-Shot) |87.93| |
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|MMLU (5-Shot) |65.46| |
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|TruthfulQA (0-shot) |70.82| |
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|Winogrande (5-shot) |82.48| |
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|GSM8k (5-shot) |65.43| |
