Arcee Blog

Coming on the heels of Arcee-Spark – our incredibly performant 7B model – we now bring you Llama-Spark. Built on Llama-3.1-8B, Llama-Spark is a conversational AI that you'd never suspect is just an 8B parameter model.

How much do you know about Large Language Models (LLMs), the tech behind AI-powered assistants? We give you the basics on both open source and closed source LLMs.

Read the DistillKit v0.1 by Arcee AI Technical Paper: our new open-source tool that's set to change how we create and distribute Small Language Models (SLMs).

First, Arcee AI revolutionized Small Language Models (SLMs) with Model Merging and the open-source repo MergeKit. Today we bring you another leap forward in the creation and distribution of SLMs with an open soure tool we're calling DistillKit.

Get Llama-3.1 but better – customize the OS model for all your needs, using Arcee AI's training, merging, and adaptation techniques and tools. Our team created this guide to get you started.

Joint customers use MongoDB & Arcee AI to take data from JSON files and turn it into world-class custom language models with practical business use cases–in just a few clicks.

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