Qwopus3.6-27B-v2-MTP-GGUF is a GGUF-quantized multimodal model supporting image and text inputs with advanced multi-token prediction (MTP) capabilities for faster inference. It combines reasoning, coding, and vision abilities in a single model. It is compatible with llama.cpp-based tools and local inference runtimes.
Qwopus3.6 27B V2 MTP is a Multimodal & vision project. It focuses on running a large multimodal reasoning model locally with enhanced inference speed via speculative decoding. Qwopus3.6 27B V2 MTP is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind Qwopus3.6 27B V2 MTP is Jackrong, and it first shipped in 2026. Development happens publicly on GitHub with 1.6k stars and 18 commits in the last 90 days. Among its 3 catalogued features are Vision Understanding, Multi-Token Prediction, and Speculative Decoding.
Summary written by a language model from the project’s public pages.
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