Meet Arcee-SuperNova: Our Flagship 70B Model, Alternative to OpenAI

Arcee-SuperNova is the latest flagship model developed as part of an OpenAI Migration plan, showcasing advancements in instruction-following capabilities, alignment with human preferences, and tailored customer integration. The model is a distilled version of Llama-3.1-405B-Instruct, optimized through internal post-training techniques and synthetic instruction data generated via the Evol-Kit pipeline, enhancing its precision and adherence to diverse queries. Additionally, Direct Preference Optimization (DPO) was employed to improve alignment with human preferences. Arcee-SuperNova demonstrates superior performance in benchmarks, particularly in reasoning, math, and knowledge retrieval tasks, making it suitable for business use cases that demand precision and reliability. Deployment options include a chat interface, AWS Marketplace access, and API availability, allowing customer-controlled environments that emphasize data privacy and security. The model can be customized and retrained using Reinforcement Learning from Human Feedback (RLHF) to meet specific business needs, with full control over model weights and updates. Acknowledging Meta's contributions through Llama-3.1, Arcee-SuperNova sets a new standard in large language models, delivering competitive performance and empowering businesses with enhanced capabilities within their infrastructure.

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