Media Summary: The llama.cpp server running with TurboQuant — serving Qwen3.6-35B-A3B with 128k context. This tutorial provides instructions for building and Stack MTP and ngram-mod together in mainline
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The Llama Cpp Server Running With Turboquant Serving Qwen3 6 35b A3b With 128k Context - Detailed Analysis

The llama.cpp server running with TurboQuant — serving Qwen3.6-35B-A3B with 128k context. This tutorial provides instructions for building and Stack MTP and ngram-mod together in mainline MTP (Multi-Token prediction) is not a new idea, but it is *finally* supported in the beloved Two quantized MoE models, same hardware, same prompts — everything you want to know about llama.cpp Qwen3.6-27B with mtp running on RTX3090

Timestamps: 00:00 - Intro 01:18 - First Look 02:05 - Technical Look 03:17 - Local Config Info 04:46 - Browser OS Test 09:26 ... We install LM Studio 0.4.14 beta on Ubuntu, enable MTP speculative decoding, and watch

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The llama.cpp server running with TurboQuant — serving Qwen3.6-35B-A3B with 128k context.
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