We knew it all along, but it's great to get user validation: through real-user usage and evaluation, several of our small models—Maestro, Coder, and AFM-4.5B-Preview—are topping the charts on @yupp_ai , the only platform that determines AI quality through real-user pairwise

As generative AI becomes increasingly central to business applications, the cost, complexity, and privacy concerns associated with language models are becoming significant. At @arcee_ai, we’ve been asking a critical question: Can CPUs actually handle the demands of language

RT @julsimon: In this fun demonstration, you can witness the impressive capabilities of @arcee_ai AFM-4.5B-Preview, Arcee's first foundatio….

RT @julsimon: In this new video, I introduce two new research-oriented models that @arcee_ai recently released on @huggingface Face. Homu….

RT @julsimon: In this video, I introduce and demonstrate three production-grade models that @arcee_ai recently opened and released on @hu….

Save the date! A week from now, please join us live to discover how @Zerve_AI is leveraging our model routing solution, Arcee Conductor, to improve its agentic platform for data science workflows. This should be a super interesting discussion, and of course, we'll do demos!

Today, we're happy to announce the open-weights release of five language models, including three enterprise-grade production models that have been powering customer workloads through our SaaS platform (SuperNova, Virtuoso-Large, Caller), and two cutting-edge research models

Today, we're excited to announce the integration of @arcee_ai Conductor, our SLM/LLM model routing solution, into the @Zerve_AI platform, an agent-driven operating system for Data & AI teams 😃. This collaboration enables data scientists, engineers, and AI developers to build,

We’re beyond thrilled to share that Arcee AI Conductor has been named “LLM Application of the Year” at the 2025 AI Breakthrough Awards. This recognition isn’t just a shiny badge—it’s a celebration of a vision we’ve been chasing for years: making AI smarter, more accessible, and

RT @gm8xx8: “First of many blogs” from Arcee. AFM-4.5B scaled from 4K → 64K context. ⮕ 𝑱𝑼𝑺𝑻 𝑴𝑬𝑹𝑮𝑬, 𝑫𝑰𝑺𝑻𝑰𝑳𝑳, 𝑹𝑬𝑷𝑬𝑨….

In this post, Mariam Jabara, one of our Field Engineers, walks you through three real-life use cases for model merging, recently published in research papers:. ➡️ Model Merging in Pre-training of Large Language Models.➡️ PatientDx: Merging Large Language Models for Protecting

RT @sjoshi804: Congratulations to the @datologyai team on powering the data for AFM-4B by @arcee_ai - competitive with Qwen3 - using way wa….

RT @arcee_ai: Last week, we launched AFM-4.5B, our first foundation model. In this post by @chargoddard , you will learn how we extended t….

RT @kalomaze: this release is pure class. arcee using their data to do some short-term continued pretraining on GLM 32b. long context suppo….

RT @teortaxesTex: You can't overstate how impressive this is. Arcee took one of the strongest base models, GLM-4, a product of many years o….

Last week, we launched AFM-4.5B, our first foundation model. In this post by @chargoddard , you will learn how we extended the context length of AFM-4.5B from 4k to 64k context through aggressive experimentation, model merging, distillation, and a concerning amount of soup. Bon

RT @leavittron: "Pretraining is dead" is dead

RT @arcee_ai: Our first foundation model, AFM-4.5B, is not even 24 hours old, and our users are already going wild. "Don't sleep on Arcee"….

Our first foundation model, AFM-4.5B, is not even 24 hours old, and our users are already going wild. "Don't sleep on Arcee" seems to be the motto. We love that, because we haven't slept much lately 😃. You can try the model in our playground ( and on