A drop-in GGUF text encoder (Qwen3‑VL‑8B‑Instruct) with its refusal direction projected out for use with stable-diffusion.cpp; drastically reduces chat refusals while leaving the 7B image denoiser and visual outputs essentially unchanged.
Generates calibrated decisions (choice/score/noul) from a prompt and optional images, up to 256 options. Routed MoE experts are quantized to NVIDIA NVFP4 to reduce weights to ~25.6 GB and GPU memory to ~23.3 GiB; provided as a vLLM-compatible System 1 decision model with a /v1/decide endpoint.