Title: Introducing Omningotex-7b: The World’s Most Accurate 7B LLM Today, I’m excited to share the creation of a groundbreaking language model, «liminerity/Omningotex-7b-slerp.» This model has achieved an impressive accuracy rate of 76.33%, making it the most accurate 7B LLM in the world. The journey to create Omningotex-7b-slerp began with an experimental process called «merging.» I started with a model named «ingot-7b-slerp,» which was created by merging two other LLMs, «blurred-beagle-7b-slerp» (by myself, liminerity) and «Macaroni-7b-Tied» (by andrijdavid), a total of eight times over. After the successful creation of ingot-7b-slerp, I proceeded to merge it with another model, «dpo-binarized-NeuralTrix-7B» by eren23, using gradient slerp. The resulting model, «binarized-ingotrix-slerp-7b,» achieved an accuracy rate of 76.04%. To further enhance the model’s performance, I decided to merge «binarized-ingotrix-slerp-7b» with «dpo-binarized-NeutrixOmnibe-7B» by eren23 once again. The resulting model, «Omningotex-7b,» is now the most accurate 7B LLM available. This breakthrough in LLM accuracy was achieved through a combination of careful experimentation and a deep understanding of…
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Автор: liminerity
Теги: mistral, merge, mergekit, lazymergekit, liminerity/binarized-ingotrix-slerp-7b, eren23/dpo-binarized-NeutrixOmnibe-7B, model-index, text-generation-inference
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
