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GGUF Release with Integrated MTP Head

·2026.05.31 14:05

Key point

A Qwen3.6 GGUF model has been released that integrates an MTP head, enabling self-speculative decoding without a separate draft model.

Details

mudler released a GGUF quantized version of the Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled model, applying APEX (Adaptive Precision for EXpert Models) technology.

The core of this release is that the MTP (Multi-Token Prediction) head has been bundled into a single file together with the model trunk. This allows self-speculative decoding to be enabled in the latest version of llama.cpp without a separate draft model, optimizing inference performance.

The version that includes the MTP head is about 2.5% larger in file size than the version without it. The precision of the MTP head is mostly maintained at Q8_0 level, maximizing inference efficiency by improving draft accuracy.

qwenquantizationggufspeculative-decodingllama-cppmtp
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