• agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

A 27B frontier-adjacent model landing on Ollama puts it within reach of a single workstation, which changes the local-inference options for anyone building agents that cannot call a hosted API.

• postQwen3.8-Max, better and cheaper. Try it out. 👀

• postQwen3.8-Max, better and cheaper. Try it out. 👀Alibaba_Qwen
• articleServe Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72Michelle Horton
• articleQwen3: Think Deeper, Act FasterQwen Team

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