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Explore LM Studio MTP — Unlock 25% Faster Local LLM Speed (Qwen 3.5: 4B) with 9,610 views, 176 likes, and 34 comments. Experience the impact of this video content that has captured audience attention.

👉🏻Get Best GPUs: https://get.runpod.io/pe48 👉🏻Get Best CPUs: https://hostinger.com/prompt LM Studio now supports MTP (Multi-Token Prediction) — and it can boost your local LLM speed by 10-25% with zero quality loss. In this video I show you exactly how to enable it. MTP works by predicting multiple draft tokens in a single forward pass, then verifying them — giving you ~2.5 tokens per pass instead of one. On Qwen 3.5 4B I went from 62 to 78 tokens/sec just by flipping the switch. 🔧 Stack used/Link: LMStudio Beta: https://lmstudio.ai/beta-releases PR: https://github.com/ggml-org/llama.cpp/pull/22673 Llama CPP: https://github.com/ggml-org/llama.cpp/tree/master 🔗 My Links ☕ Support me https://ko-fi.com/promptengineer 📱 Patreon https://www.patreon.com/PromptEngineer975 📞 Book a Call https://calendly.com/prompt-engineer48/call 💀 GitHub https://github.com/PromptEngineer48 🔖 Twitter/X https://twitter.com/prompt48 ⏱️ Timestamps: 0:00 — Speed demo (62 vs 78 tok/s) 0:37 — What is MTP? Standard vs MTP autoregression 1:28 — Draft + verify phase explained 2:19 — Acceptance rate and VRAM cost 2:49 — Install LM Studio + enable beta 3:44 — Download MTP-enabled model 4:09 — Benchmark without MTP 4:38 — Benchmark with MTP enabled 5:49 — Results breakdown LM Studio, LM Studio MTP, multi-token prediction, local LLM speed, Qwen 3, Qwen 3 5B, GGUF, llama.cpp, speculative decoding, local AI, run LLM locally, offline AI, no API, AI tutorial, faster LLM, LM Studio tutorial, LM Studio beta, unsloth, MTP speculative decoding, local LLM, llama cpp speed, AI speed test

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