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AMD releases open Instella-MoE-16B LLM with 2.8B active parameters

By PulseAugur Editorial · [1 sources] ·

AMD has released Instella-MoE-16B-A3B, an open-source Mixture-of-Experts language model. This model features 16 billion total parameters but only activates 2.8 billion per token, utilizing architectural innovations like Gated Multi-head Latent Attention and FarSkip-Collective connectivity for improved training and inference speeds. While the training code is MIT licensed and highly reusable, the model weights are released under a ResearchRAIL license, restricting commercial use. Instella-MoE-16B-A3B demonstrates strong performance, leading fully open models on several benchmarks and achieving a 64K context window. AI

IMPACT Provides a new open-source MoE model for research, potentially advancing understanding of expert routing and long-context capabilities.

RANK_REASON Release of an open-source LLM with detailed training information and benchmarks, but with restrictive licensing for commercial use. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AMD releases open Instella-MoE-16B LLM with 2.8B active parameters

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Release of an open-source LLM with detailed training information and benchmarks, but with restrictive licensing for commercial use. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, infra
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs

    <p>AMD released Instella-MoE-16B-A3B, a fully open Mixture-of-Experts language model trained from scratch on Instinct MI300X and MI325X GPUs. It holds 16B total parameters but activates only 2.8B per token, using Gated MLA and FarSkip-Collective. AMD published weights from every …

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