Introducing SuperNova-Medius: Arcee AI's 14B Small Language Model That Rivals a 70B

Arcee-SuperNova-Medius is a compact yet robust 14 billion parameter language model that bridges the gap between the larger 70 billion parameter SuperNova model and the smaller 8 billion parameter SuperNova-Lite variant, excelling in instruction-following and complex reasoning tasks. It was developed through a unique cross-architecture distillation process, primarily using the offline logit-based approach to transfer knowledge from the Llama 3.1 405B model. This involved using a tool called mergekit-tokensurgeon to replace vocabulary and merge distilled models, resulting in a highly capable, multi-architecture model suitable for various business applications like customer support and content creation. Charles Goddard, the founder of MergeKit, highlights the effectiveness of this method for achieving a balance of size and performance, demonstrating the potential of multi-teacher distillation in creating efficient language models.

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