09:01
NVIDIA’s Two-Tower Model Generates Text 2.4x Faster Without Losing Quality
NVIDIA has released NeMo-Tron 2 Tower 30B A3 Base, a 30-billion parameter model that rethinks how large language models generate text...
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08:18
Qwopus 35B + MTP: The Coder That Fixes Its Own Bugs at 160 tok/s
Fahd Mirza tests Qwopus Coder, a 35-billion-parameter mixture-of-experts coding model built on the Qwen 3.6 architecture (3B paramete...
08:11
Weekly AI Recap – Qwen3.7, MTP in llama.cpp, SANA and More | May 2026
Fahd Mirza's weekly AI recap for May 2026 covers the most consequential model releases, infrastructure updates, and industry deals of...
10:48
LM Studio Just Got MTP — Qwen3.6-27B Runs 63% Faster with One Toggle
Fahd Mirza demonstrates how to enable Multi-Token Prediction (MTP) speculative decoding in LM Studio's new beta release (version 0.4....
09:45
Llama.cpp Just Got MTP – Qwen3.6 27B Runs 2x Faster Locally with Two Flags
Multi-token prediction (MTP) support has officially merged into the mainline llama.cpp repository—not a fork or custom branch, but th...
08:06
MTP vs DFlash — Speculative Decoding Explained Simply
This video by Fahd Mirza offers a clear, structured comparison of two speculative decoding techniques — Multi-Token Prediction (MTP)...
11:12
Qwen3.6 27B Gets 20% Faster with MTP and llama.cpp Locally
Fahd Mirza demonstrates how to enable multi-token prediction (MTP) on Qwen3.6 27B using ik_llama.cpp — a community fork of the popula...