A 27B coding model that runs on one 24 GB NVIDIA card at the full 262,144-token context, with multi-token-prediction speculation and vision still on. It is Swift-Qwen3.8-27B (Qwen3.8-27B post-trained by UkisAI for shorter reasoning), requantized with a coding-calibrated importance matrix. Nothing was trained here: this is a quantization and a deployment recipe, measured end to end. IQ4XS/Potato-CODER-24GB-IQ4XS.gguf (the model, MTP head embedded), mmproj-Potato-CODER-24GB-Q80.gguf (vision projector, Q80 of UkisAI's F16 projector; the vision tower is unchanged from Qwen3.8-27B), LICENSE (Swift Open License), LICENSE-APACHE-2.0 (base model), NOTICE, SHA256SUMS. Use our llama.cpp branch…