@ifm_ai
We create world-class foundation models that redefine what AI can do.
AI
IFM says the release covers 13 trillion pre-training tokens across five datasets and 24 subsets.
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IFM says Jais 3's weights are available to download and claims its speech recognition covers Modern Standard Arabic and dialects.
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IFM says Jais 3 now runs on both of the serving stacks most teams already have.
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IFM says xLLM lets teams change tokenizers, data mixtures, model architectures and training stages without rebuilding the dataset or the system around them.
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IFM says its July 2026 preview drew average guesses of 89.9 billion and 62.6 billion parameters, respectively, after attendees watched real-work and coding tasks.
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IFM says the “Best Use of K2 Horizon” challenge will run from 9 a.m. to 9 p.m. in East Hall 1324, with 100 million tokens promised to each winning team member.
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IFM_AI says the model scores 50% above the next best model under 10B, beating Qwen3.6-35B-A3B and closely matching Qwen3.6-27B.
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Uno’s developer says each layer has separate autoregressive and diffusion weights, enabling parallel sampling without changing the autoregressive output distribution.
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Fleet of six open models spans 0.9 billion to 375 billion parameters.