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Technology & Computing / VIDEO

How to Make Local AI Models 2X FASTER with DFlash & DSpark in LM Studio

AsapGuide· 26.1K subscribers

2d ago · en-US audio

👉 In this video, I will show you how to run speculative decoding with DFlash and DSpark drafter models in LM Studio to speed up local LLMs like Gemma, Qwen, and LFM. I also compare them with MTP and share real tokens per second results, including a case where the drafter made generation slower. If you want quicker responses from a model running on your own PC, this gives you a realistic look at what works today and…

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4.9×Score at discovery
5.4KViews
1.1KMedian · 43 videos

Outlier score

This score was measured on Tue, 27 Oct 2026 10:33:51 GMT. Current view counts may differ.

5.3K views ÷ a 1.1K baseline = 4.9×. Compared with 43 earlier videos from the same channel, matching the format recorded at scoring time. Older-upload baseline: reference videos had at least as long to gain views. This comparison is not age-matched.

YouTube snapshot: Tue, 27 Oct 2026 12:09:05 GMT. Counters may have changed.

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Artificial Intelligence & Data

Channel-balanced percentile: 42

Comparison details

22 videos from 21 other channels, with each channel weighted equally. Same format and language, with 10,000–99,999 subscribers. Observed at 67 hours after publication, within ±13 hours.

The comparison uses this broader topic because the specific niche has too few examples. This describes the collected sample, not all of YouTube. Updated Tue, 27 Oct 2026 12:57:10 GMT.

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Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools

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