In light of dataset contamination issue among the merged models raised by the community in recent days, in particular berkeley-nest/Starling-LM-7B-alpha, and Q-bert/MetaMath-Cybertron-Starling, we decided to remake another model without the models mentioned. Additionally, their CC-by-NC-4.0 license is restrictive and thus are not suitable for an open model. This is an experiment to test merging 14 models using DARE TIES 🦙 The result is a base model that performs quite well but requires some further instruction fine-tuning. The 14 models are as follows: 1. mistralai/Mistral-7B-Instruct-v0.2 2. ehartford/dolphin-2.2.1-mistral-7b 3. SciPhi/SciPhi-Mistral-7B-32k 4. ehartford/samantha-1.2-mistral-7b 5. Arc53/docsgpt-7b-mistral 6. berkeley-nest/Starling-LM-7B-alpha 7. Q-bert/MetaMath-Cybertron-Starling 8. Open-Orca/Mistral-7B-OpenOrca 9. v1olet/v1olet_marcoroni-go-bruins-merge-7B 10. beowolx/MistralHermes-CodePro-7B-v1 11. TIGER-Lab/MAmmoTH-7B-Mistral 12. teknium/OpenHermes-2.5-Mistral-7B 13. Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp 14. mlabonne/NeuralHermes-2.5-Mistral-7B
Модальности:
Генерация текста
Задача: Генерация текста
Автор: EmbeddedLLM
Теги: mistral, merge, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 27
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
