We just shipped Qwythos-27B-v1 the long-awaited bigger sibling to Qwythos-9B, now on a Qwen3.5-27B base. It is an open-weights bf16 reasoning model, released under Apache-2.0, with weights and purpose-built GGUFs up now. People have been asking for the 27B since the 9B landed. This is it.
kodeeA hygiene release for our reasoning 9B — the looping behavior is trained out (6.7% → 0% under greedy decoding), the native MTP head is restored, and the identity is a lighter touch — with every benchmark held at v1's level. Not a capability jump. A fix.
kodeeOur biggest open-weights release yet — a full-parameter reasoning model distilled from Claude Mythos 5, with a 1M-token context, native tool use, and a +34-point MMLU jump over its base. Here's what's in it, the honest benchmark table, and how to run it.
kodee