Lucas Atkins - Arcee AI Blog

Lucas Atkins

Research Engineer

Taking the Stage: Arcee Orchestra

Taking the Stage: Arcee Orchestra

Learn how we're leveraging small language models (SLMs) to power agentic AI workflows, in our new end-to-end, easy-to-use platform called Arcee Orchestra.

Announcing the Arcee Model Engine Public Beta

Announcing the Arcee Model Engine Public Beta

Get direct access to the small language models (SLMs) that power Arcee Orchestra, our new end-to-end, SLM-powered agentic AI platform. Sign up for the public beta of the Arcee Model Engine today.

Arcee AI's Role in the INTELLECT-1 Open Source Revolution

Arcee AI's Role in the INTELLECT-1 Open Source Revolution

The Arcee AI research team is honored to be among the contributors to the world's first fully decentralized training of a large language model (LLM). Read about the game-changing project led by Prime Intellect, and how we brought our expertise to the post-training.

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

Model Release Featured

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

First came our flagship 70B SuperNova, followed by the 8B SuperNova-Lite. Today we add to this family of superpower Small Language Models with the release of the 14B SuperNova-Medius.

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

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

Meet Arcee-SuperNova: a groundbreaking model with state-of-the-art abilities in instruction-following and strong alignment with human preferences.

Arcee-SuperNova: Training Pipeline and Model Composition

Arcee-SuperNova: Training Pipeline and Model Composition

We trained Arcee SuperNova-70B and Arcee SuperNova-8B to be a generally intelligent Llama-3.1-405B derivatives using intelligent distillation, novel post-training, and model merging techniques.

Arcee Swarm: Unlocking AI Expertise Through Specialization

Launch Featured

Arcee Swarm: Unlocking AI Expertise Through Specialization

Get ready for a game-changer when it comes to AI for complex problem-solving & decision making, with Arcee AI's Mixture of Agents architecture release: Arcee Swarm. Rather than relying on one LLM to handle all tasks, Arcee Swarm routes your query to a collection of smaller expert models.

Do Direct Preference Optimization (DPO) with Arcee AI's training platform

Do Direct Preference Optimization (DPO) with Arcee AI's training platform

Direct Preference Optimization (DPO) is one of the top methods for fine-tuning LLMs... It's available on our model training platform - and today, we bring you support for DPO on our training APIs.

Arcee-Spark Gets an Upgrade: Introducing Llama-Spark!

Arcee-Spark Gets an Upgrade: Introducing Llama-Spark!

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.

Distilling LLMs with Compact, Powerful Models for Everyone: Introducing DistillKit by Arcee AI

Insights Featured

Distilling LLMs with Compact, Powerful Models for Everyone: Introducing DistillKit by Arcee AI

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.

DistillKit v0.1 by Arcee Labs: The Technical Paper

DistillKit v0.1 by Arcee Labs: The Technical Paper

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).

Arcee-AI Releases Two Open Datasets

Arcee-AI Releases Two Open Datasets

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

Introducing Arcee-Nova

Introducing Arcee-Nova

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

Introducing Arcee-Scribe: Your Creative Writing Partner

Introducing Arcee-Scribe: Your Creative Writing Partner

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.

Optimizing LLM Training with Spectrum

Optimizing LLM Training with Spectrum

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.

Introducing Arcee Agent: A Specialized 7B Language Model for Function Calling and Tool Use

Introducing Arcee Agent: A Specialized 7B Language Model for Function Calling and Tool Use

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!

Arcee Spark: A Compact & Efficient 7B Parameter Language Model

Arcee Spark: A Compact & Efficient 7B Parameter Language Model

Looking for proof that Small is the new Big when it comes to language models? Look no further than the model we've just dropped here at Arcee AI: you get top-notch results with just 7B parameters.

Introducing the Ultimate SEC LLM: Revolutionizing Financial Insights

Introducing the Ultimate SEC LLM: Revolutionizing Financial Insights

We built Llama-3-SEC upon the powerful Meta-Llama-3-70B-Instruct model, with the goal of providing unparalleled insights and analysis capabilities for financial professionals, investors, researchers, and anyone working with SEC filings and related financial data.