This repository contains the text tower of converted directly from the original bf16 checkpoint to one memory-mapped CMF file. It runs with the same file on CPU, Vulkan (NVIDIA/AMD/Intel), DX12 and Metal. No Python, PyTorch, CUDA toolkit or model-specific GPU build is needed at inference time. The upstream language model has 125B parameters with about 6B active per token, plus the 51B-parameter PLE n-gram table. The sparse/on-demand layout is why a single artifact can remain usable well below its full file size in VRAM. The file requires the dedicated qwen4exp runtime added alongside this conversion; older packaged binaries reject the new architecture instead of silently running an…
Open weights
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cortiq
Qwen-Image-2.1 packaged as a single CMF file: the 7B image transformer, the Qwen3-VL-8B text encoder with its vision tower, and the RGBA VAE together, with the generation recipe stored inside. It runs with cortiq, a Rust engine with no Python: Apple silicon through Metal, NVIDIA GPUs through Vulkan, and a CPU fallback everywhere. Text-to-image, native transparency (RGBA), and generation from condition images. Built with Qwen. No flags needed: the file carries the recipe (1024×1024, 40 steps, no CFG). Set XDGRUNTIMEDIR=/tmp on a headless Linux box. Transparent images — ask for them in the prompt, PNG keeps the alpha channel: From condition images (repeat --image for several): sha256…
Open weights
other
cortiq
