No Thinking · PI Tune · MTP · GGUF 🪐 Qwen3.6 27B MTP pi tune A 4 bit QLoRA SFT Multi Token Prediction tune of Qwen3.6 27B fine tuned for no thinking agentic coding through a PI style harness. Packaged as llama.cpp compatible GGUF for local agent loops. 🧠 27B Dense Foundation 🚫 No Thinking Tuned ⚡ MTP Speculative Decoding 🛠️ Coding · DevOps · Agents 📦 llama.cpp GGUF 🖼️ Multi Modal Compatible 🪟 256k Native · 1M Max Context [!TIP] For the strongest Pi style coding agent behavior, use the reasoning trained release: bytkim/Qwen3.6 27B MTP pi reasoning GGUF . See the technical writeup for the broader evaluation context. This no thinking tune remains useful when you specifically want the lower latency direct / instruct path. ⚡ MTP Decoding Multi Token Prediction drafts future tokens and accepts them when the main decode path agrees — cutting wall time on long reasoning, code generation, and tool call setup. 🧩 No Thinking by Design Trained on Qwen3.6's non thinking inference path. The model responds directly with tool calls, edits, and structured output — no <thinking> preamble eating wall time before the harness can act. 🧪 Local First Throughput Designed for llama.cpp class…
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