Acree opens up new enterprise-focused, customizable AI mannequin AFM-4.5B educated on ‘clear, rigorously filtered knowledge’

Arcee.ai, a startup targeted on creating small AI fashions for business and enterprise use, is opening up its personal AFM-4.5B mannequin for restricted free utilization by small firms — posting the weights on Hugging Face and permitting enterprises that make lower than $1.75 million in annual income to make use of it with out cost below a customized “Acree Mannequin License.“

Designed for real-world enterprise use, the 4.5-billion-parameter mannequin — a lot smaller than the tens of billions to trillions of main frontier fashions — combines value effectivity, regulatory compliance, and powerful efficiency in a compact footprint.

AFM-4.5B was one in every of a two half launch made by Acree final month, and is already “instruction tuned,” or an “instruct” mannequin, which is designed for chat, retrieval, and artistic writing and might be deployed instantly for these use circumstances in enterprises. One other base mannequin was additionally launched on the time that was not instruction tuned, solely pre-trained, permitting extra customizability by prospects. Nevertheless, each had been solely obtainable by way of business licensing phrases — till now.

Acree’s chief know-how officer (CTO) Lucas Atkins additionally famous in a publish on X that extra “devoted fashions for reasoning and power use are on the best way,” as properly.

“Constructing AFM-4.5B has been an enormous group effort, and we’re deeply grateful to everybody who supported us We are able to’t wait to see what you construct with it,” he wrote in one other publish. “We’re simply getting began. If in case you have suggestions or concepts, please don’t hesitate to succeed in out at any time.”

The mannequin is offered now for deployment throughout a wide range of environments —from cloud to smartphones to edge {hardware}.

It’s additionally geared towards Acree’s rising listing of enterprise prospects and their wants and desires — particularly, a mannequin educated with out violating mental property.

As Acree wrote in its preliminary AFM-4.5B announcement publish final month: “Great effort was put in direction of excluding copyrighted books and materials with unclear licensing.”

Acree notes it labored with third-party knowledge curation agency DatologyAI to use strategies like supply mixing, embedding-based filtering, and high quality management — all geared toward minimizing hallucinations and IP dangers.

Centered on enterprise buyer wants

AFM-4.5B is Arcee.ai’s response to what it sees as main ache factors in enterprise adoption of generative AI: excessive value, restricted customizability, and regulatory issues round proprietary massive language fashions (LLMs).

Over the previous 12 months, the Arcee group held discussions with greater than 150 organizations, starting from startups to Fortune 100 firms, to grasp the constraints of present LLMs and outline their very own mannequin targets.

In response to the corporate, many companies discovered mainstream LLMs — similar to these from OpenAI, Anthropic, or DeepSeek — too costly and tough to tailor to industry-specific wants. In the meantime, whereas smaller open-weight fashions like Llama, Mistral, and Qwen supplied extra flexibility, they launched issues round licensing, IP provenance, and geopolitical threat.

AFM-4.5B was developed as a “no-trade-offs” various: customizable, compliant, and cost-efficient with out sacrificing mannequin high quality or usability.

AFM-4.5B is designed with deployment flexibility in thoughts. It may well function in cloud, on-premise, hybrid, and even edge environments—because of its effectivity and compatibility with open frameworks similar to Hugging Face Transformers, llama.cpp, and (pending launch) vLLM.

The mannequin helps quantized codecs, permitting it to run on lower-RAM GPUs and even CPUs, making it sensible for functions with constrained assets.

Firm imaginative and prescient secures backing

Arcee.ai’s broader technique focuses on constructing domain-adaptable, small language fashions (SLMs) that may energy many use circumstances throughout the similar group.

As CEO Mark McQuade defined in a VentureBeat interview final 12 months, “You don’t must go that massive for enterprise use circumstances.” The corporate emphasizes quick iteration and mannequin customization as core to its providing.

This imaginative and prescient gained investor backing with a $24 million Sequence A spherical again in 2024.

Inside AFM-4.5B’s structure and coaching course of

The AFM-4.5B mannequin makes use of a decoder-only transformer structure with a number of optimizations for efficiency and deployment flexibility.

It incorporates grouped question consideration for sooner inference and ReLU² activations rather than SwiGLU to help sparsification with out degrading accuracy.

Coaching adopted a three-phase method:

• Pretraining on 6.5 trillion tokens of normal knowledge
• Midtraining on 1.5 trillion tokens emphasizing math and code
• Instruction tuning utilizing high-quality instruction-following datasets and reinforcement studying with verifiable and preference-based suggestions

To fulfill strict compliance and IP requirements, the mannequin was educated on almost 7 trillion tokens of knowledge curated for cleanliness and licensing security.

A aggressive mannequin, however not a pacesetter

Regardless of its smaller measurement, AFM-4.5B performs competitively throughout a broad vary of benchmarks. The instruction-tuned model averages a rating of fifty.13 throughout analysis suites similar to MMLU, MixEval, TriviaQA, and Agieval—matching or outperforming similar-sized fashions like Gemma-3 4B-it, Qwen3-4B, and SmolLM3-3B.

Multilingual testing reveals the mannequin delivers robust efficiency throughout greater than 10 languages, together with Arabic, Mandarin, German, and Portuguese.

In response to Arcee, including help for added dialects is easy as a result of its modular structure.

AFM-4.5B has additionally proven robust early traction in public analysis environments. In a leaderboard that ranks conversational mannequin high quality by person votes and win fee, the mannequin ranks third general, trailing solely Claude Opus 4 and Gemini 2.5 Professional.

It boasts a win fee of 59.2% and the quickest latency of any high mannequin at 0.2 seconds, paired with a technology pace of 179 tokens per second.

Constructed-in help for brokers

Along with normal capabilities, AFM-4.5B comes with built-in help for perform calling and agentic reasoning.

These options purpose to simplify the method of constructing AI brokers and workflow automation instruments, lowering the necessity for complicated immediate engineering or orchestration layers.

This performance aligns with Arcee’s broader technique of enabling enterprises to construct customized, production-ready fashions sooner, with decrease whole value of possession (TCO) and simpler integration into enterprise operations.

What’s subsequent for Acree?

AFM-4.5B represents Arcee.ai’s push to outline a brand new class of enterprise-ready language fashions: small, performant, and absolutely customizable, with out the compromises that usually include both proprietary LLMs or open-weight SLMs.

With aggressive benchmarks, multilingual help, robust compliance requirements, and versatile deployment choices, the mannequin goals to fulfill enterprise wants for pace, sovereignty, and scale.

Whether or not Arcee can carve out a long-lasting function within the quickly shifting generative AI panorama will depend upon its means to ship on this promise. However with AFM-4.5B, the corporate has made a assured first transfer.