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LM Studio adds MTP Speculative Decoding for faster local LLM inference

By PulseAugur Editorial · [2 sources] ·

LM Studio has updated to version 0.4.14 Build 2 (Beta), integrating MTP Speculative Decoding to accelerate local large language model inference. This feature allows for faster text generation by predicting multiple tokens simultaneously, making local AI interactions more fluid. Additionally, new GGUF quantizations for the Qwen 3.6 35B model have been released, with benchmarks comparing MTP and NTP performance across various hardware, providing users with data to optimize their local LLM deployments. AI

IMPACT Enhances local LLM inference speed and accessibility for users running models on their own hardware.

RANK_REASON Product update for a desktop application used for running local LLMs.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LM Studio adds MTP Speculative Decoding for faster local LLM inference

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · soy ·

    LM Studio Adds MTP Speculative Decoding; Qwen 3.6 GGUF Quants, Ollama Insights

    <h2> LM Studio Adds MTP Speculative Decoding; Qwen 3.6 GGUF Quants, Ollama Insights </h2> <h3> Today's Highlights </h3> <p>LM Studio users can now leverage MTP speculative decoding for faster local inference, significantly boosting performance for self-hosted models. Concurrently…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Benchmark results for Qwen 3.6 27B and 35B MTP speculative decoding in llama.cpp on RTX 4080 16GB. Token speed, VRAM cost, and optimal --spec-draft-n-max settin

    Benchmark results for Qwen 3.6 27B and 35B MTP speculative decoding in llama.cpp on RTX 4080 16GB. Token speed, VRAM cost, and optimal --spec-draft-n-max settings. # SelfHosting # LLM # AI # llama .cpp # NVidia # Hardware https://www. glukhov.org/llm-performance/be nchmarks/compa…

    LINKS glukhov.org/…/comparing-qwen-3-6-mtp-vs-s…

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