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Disabling MTP boosts LLM performance on low-RAM systems

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit shared a tip for improving performance when running large language models on systems with limited RAM. They found that disabling Multi-Token Prediction (MTP) resulted in a 20-30% increase in tokens per second when using models like Gyrostrata and Strata on a 3060 GPU with 32GB of RAM. AI

IMPACT Disabling Multi-Token Prediction can significantly improve LLM inference speed on consumer hardware with limited RAM.

RANK_REASON User-generated tip about optimizing a specific software feature for performance.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Disabling MTP boosts LLM performance on low-RAM systems

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Composite score across the factors below. Higher = stronger signal that this story matters right now.
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User-generated tip about optimizing a specific software feature for performance.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/InternalMode8159 ·

    If you are using big model compared to ram try and disable mtp

    <!-- SC_OFF --><div class="md"><p>Little reminder, with all my testing I found out that mtp can decrease performance when using very big model, since many are starting to use strata or similar and I see many app activating it as default try and disable it, in my case, testing tro…

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