Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)

Two new open-weight models, Victoria and Maple, have been released. Victoria is a fine-tune of Qwen3.8-Flash-Next, with 44% of experts cut, achieving 70% on Terminal-Bench 2.1 and 93.2% on HumanEval. It includes a GGUF version (49.17 GiB). Maple is a Canada-first fine-tune. Users of llama.cpp should note that the GGUF carries a draft head not yet supported by mainline llama.cpp, requiring a build from the qwen4exp-mtp branch of github.com/rmonsurate/llama.cpp.