AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs
AMD released Instella-MoE-16B-A3B, a fully open Mixture-of-Experts language model trained from scratch on Instinct MI300X and MI325X GPUs. The model holds 16B total parameters but activates only 2.8B per token. AMD is publishing weights from every training stage, along with data mixtures, training configs, and inference code. Two systems-level choices carry the release: Gated Multi-head Latent Attention and FarSkip-Collective connectivity. Is it deployable? Partly. The weights ship under
AMD released a fully open Mixture-of-Experts language model with 16 billion total parameters but only 2.8 billion active per token, trained on AMD's Instinct GPUs. The model's weights are available under a research-only license, while the training code is MIT-licensed for broader reuse. The release includes two technical innovations: Gated Multi-head Latent Attention and FarSkip-Collective connectivity, which together provide faster training and reduced serving time. The model is designed for AI research labs, universities, and enterprise teams with data-center GPU capacity rather than commercial deployment, and it performs competitively with other open models on standard benchmarks.
Explainer: What Is a Mixture of Experts Model and Why Does It Use Fewer Resources?
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Also reported by The Verge, SiliconANGLE and MarkTechPost
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Gemini 4 Carbon is now available
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Also reported by SiliconANGLE
Introducing AlphaProof Code: a breakthrough in verifying complex software at depth
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