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--- |
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base_model: |
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- LeroyDyer/Mixtral_AI_128k_bioMedical |
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- filipealmeida/Mistral-7B-Instruct-v0.1-sharded |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- chemistry |
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- code |
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- medical |
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- text-generation-inference |
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license: mit |
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language: |
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- en |
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metrics: |
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- accuracy |
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- bertscore |
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- bleu |
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- code_eval |
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- cer |
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--- |
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<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/> |
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https://github.com/spydaz |
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Enhanced with an expanded context window and advanced routing mechanisms, the Mistral-7B-Instruct-v0.2 exemplifies the power of Mixture of Experts, allowing seamless integration of specialized sub-models. This architecture facilitates unparalleled performance and scalability, enabling the CyberSeries to tackle a myriad of tasks with unparalleled speed and accuracy. |
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Among its illustrious sub-models, the OpenOrca - Mistral-7B-8k shines as a testament to fine-tuning excellence, boasting top-ranking performance in its class. Meanwhile, the Hermes 2 Pro introduces cutting-edge capabilities such as Function Calling and JSON Mode, catering to diverse application needs. |
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Driven by Reinforcement Learning from AI Feedback, the Starling-LM-7B-beta demonstrates remarkable adaptability and optimization, while the Phi-1.5 Transformer model stands as a beacon of excellence across various domains, from common sense reasoning to medical inference. |
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With models like BioMistral tailored specifically for medical applications and Nous-Yarn-Mistral-7b-128k excelling in handling long-context data, the MEGA_MIND 24b CyberSeries emerges as a transformative force in the landscape of language understanding and artificial intelligence. |
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Experience the future of language models with the MEGA_MIND 24b CyberSeries, where innovation meets performance, and possibilities are limitless. |
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GREAT MODEL ! |
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``` |
