Arcee Blog

Today, we have made two important datasets publicly available: 1. Agent Data: This dataset was instrumental in training Arcee-Agent. It contains Salesforce-xlam, agent-flan, and a custom version of Glaive-FC2 with 20k extended samples that call for the model to do tool use sequentially within the same response, along with Magpie-Pro

Arcee AI raises $24M Series A led by Emergence Capital to bring small language models to enterprises. Secure, efficient AI solutions for regulated industries.

What a week here at Arcee AI. On the heels of Arcee-Scribe yesterday, today we bring you Arcee-Nova – our highest-performing open source model... Evaluated on the same stack as the OpenLLM Leaderboard 2.0, making it the top-performing open source model tested on that stack. Its performance approaches that of

Less than a year after emerging from stealth, Arcee AI has hit the headlines – announcing a major Series A, the arrival of Chief Evangelist Julien Simon, and the launch of a new cloud platform.

Need a guide or just some inspiration for your writing tasks – especially those that require a dose of creativity? Get your artistic juices flowing with the latest model by Arcee AI.

Arcee AI is enabling small language models with a $24M Series A funding round and the launch of Arcee Cloud. This innovative platform offers a hosted SaaS version of their AI, complementing the in-VPC Arcee Enterprise.

Here at Arcee AI, we're the pioneers of training performant and efficient LLMs with Model Merging... And now we bring you *yet another* cutting-edge technique that also dramatically optimizes your training and improves your models.

So you want to train a custom language model, and you do have the requisite large set of text data. But how do you know that the data is *really actually ready* for model training? Our researchers here at Arcee AI tell you what to look out for.

Arcee Agent is yet another Arcee model punching above its weight: it's just 7B (initialized from Qwen2-7B) and outranks much larger models. Try it out for function calling and tool use!