A GGUF quantized variant of a 27-billion parameter model specialized for coding tasks (Qwopus3.6) that also includes multimodal (vision) capabilities. It uses NVFP4 quantization for efficient local inference. The model supports advanced prompting formats and is suitable for code generation and vision-language tasks on compatible hardware.
In the Coding AI & assistants space, Qwopus3.6 27B Coder MTP takes a focused approach. It focuses on running large coding and multimodal models locally with low memory footprint via quantization. Qwopus3.6 27B Coder MTP is an open-source project aimed at developers and AI researchers. The project is open source (MIT). It runs on the web, the command line, and API.
It is developed by michaelw9999, and the product first shipped in 2026. The project is developed in the open on GitHub with 38 stars and 84 commits in the last 90 days. PulseGate's similarity index places it among 9 comparable tools. Among its 4 catalogued features are GGUF Format, Vision Support, and Code Generation.
Latest indexed changes and source events
michaelw9999/Qwopus3.6-27B-Coder-MTP-NVFP4-GGUF verified by the PulseGate indexer
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