Access Trinity Mini with an API
Blog post from Clarifai
Arcee Trinity Mini is an advanced AI model developed by Arcee AI, designed for efficient performance and strong reasoning capabilities, while being resource-conscious through its mixture-of-experts architecture. This model, part of the Trinity family, activates approximately 3 billion out of 26 billion parameters per task, making it faster and more cost-effective compared to larger models. It supports extensive context windows up to 128,000 tokens, enabling it to handle long documents and conversations efficiently. The model is accessible via Clarifai, supporting both cloud and on-premises deployment, and is tailored for real-world applications like multi-turn conversations and structured outputs. Trinity Mini's key features include multi-step reasoning, tool orchestration, and JSON schema adherence for structured outputs, making it ideal for applications requiring precision, such as conversational AI, agent workflows, and enterprise integration. Its performance on benchmarks like MMLU, Math-500, and GPQA-Diamond highlights its proficiency in reasoning and problem-solving, while its efficient architecture supports scalable, cost-effective deployment.