Qwopus-3.6-27B-Coder Agentic Model Released in GGUF Format

🤖 The Qwopus-3.6-27B-Coder agentic model has been released in GGUF format, optimized for repository interaction and complex debugging.

Based on Qwopus3.6-27B-v2, the model utilizes Multi-Token Prediction (MTP) technology, which accelerates generation by approximately 1.66x. It also employs the Trace Inversion method to train on reconstructed chains of thought (CoT) from complex models such as Claude Opus.

🌍 The emergence of efficient local agentic models (27B) reduces developer dependency on proprietary APIs while maintaining high-quality code generation.

👤 You can run a powerful AI programming assistant on consumer hardware (e.g., RTX 5090) that understands the structure of entire repositories.

Source 1: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF