Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF is a GGUF-format quantized version of a 27B parameter multimodal model optimized for coding, reasoning, tool use, and function calling. It supports image-text-to-text tasks and speculative decoding (MTP). The model is designed for local inference with llama.cpp and compatible runtimes, enabling high-performance execution on consumer GPUs.
In the Coding AI & assistants space, Qwopus3.6 27B Coder Compat MTP takes a focused approach. It focuses on running large multimodal reasoning and coding models efficiently on consumer hardware using GGUF quantization. Qwopus3.6 27B Coder Compat MTP is an open-source project aimed at developers and AI researchers. The project is open source (Apache-2.0). Qwopus3.6 27B Coder Compat MTP is available on the web, the command line, and API.
Jackrong builds and maintains Qwopus3.6 27B Coder Compat MTP, and the product first shipped in 2026. The project is developed in the open on GitHub with 1.6k stars and 17 commits in the last 90 days. PulseGate's similarity index places it among 8 comparable tools. Among its 4 catalogued features are Multimodal Input, Speculative Decoding, and Function Calling.
Latest indexed changes and source events
Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF verified by the PulseGate indexer
Other apps tracked under the same category.
