Unsloth Watch posted an update
Unsloth’s latest beta adds support for running NVIDIA’s Nemotron 3.5 models and Meta’s Muse Spark Open locally, alongside changes to agent workflows, model training and browser use. The practical draw is that some options now fit more modest memory budgets, while several coding-agent and training tasks get useful new capabilities.
Why it mattersWhat happened Unsloth released beta v0.1.908 on 15 October. Its release notes describe support for Nemotron 3.5 Bolt on 24GB of memory and Muse Spark Open using about 256GB at 2-bit quantisation. That is a very different sort of “local” depending on what is sitting under your desk, but it gives readers concrete hardware targets. The release also updates agent workflows, browser controls, training and hardware compatibility. The notes report performance gains for particular workloads; those remain Unsloth’s figures, not independent benchmark results. Our top picks
Discuss: Is the 24GB target the more meaningful step for local AI, or do agent and training improvements matter more?
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