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ExLlamaV3 praised for impressive speed and performance

By PulseAugur Editorial · [1 sources] ·

A user on Reddit shared their positive experience with ExLlamaV3, a new model they tested. They reported impressive speeds of 700 tokens/second for prefill and 42 tokens/second for decoding when running GLM 5.3 Flash on an 8x3090 setup. The user also noted that the model performed well with over 30 million tokens and expressed gratitude for community-driven projects like ExLlamaV3. AI

IMPACT Demonstrates performance gains in local LLM deployments.

RANK_REASON User review of a specific model implementation.

Read on r/LocalLLaMA →

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

ExLlamaV3 praised for impressive speed and performance

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User review of a specific model implementation.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

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

    Gave a try to Exllamav3 and it's great!

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w4tejh/gave_a_try_to_exllamav3_and_its_great/"> <img alt="Gave a try to Exllamav3 and it's great!" src="https://preview.redd.it/6xbyv16kszmh1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=45dafeef3c6c8cbf6…

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