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LLM Enthusiasts Question Lack of INT8 W8A8 Model Adoption Despite RTX 3090 Support

By PulseAugur Editorial · [1 sources] ·

A discussion on Reddit explores why INT8 W8A8 models are not more prevalent among LLM enthusiasts, despite the RTX 3090 being a popular GPU with native INT8 tensor cores that could offer performance benefits. Users speculate on the reasons behind this trend, questioning why FP8 or smaller quantization formats are often preferred. AI

IMPACT Explores potential optimizations for running LLMs on consumer hardware.

RANK_REASON Discussion on a subreddit about the adoption of specific model quantization formats.

Read on r/LocalLLaMA →

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

LLM Enthusiasts Question Lack of INT8 W8A8 Model Adoption Despite RTX 3090 Support

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Discussion on a subreddit about the adoption of specific model quantization formats.
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  1. r/LocalLLaMA TIER_1 English(EN) · /u/TheOnlyBen2 ·

    Given how common RTX 3090 use is for LLMs, why don't we see more INT8 W8A8 models ?

    <!-- SC_OFF --><div class="md"><p>Based on <a href="https://huggingface.co/hardware">https://huggingface.co/hardware</a>, the RTX 3090 is the second most used GPU by LLM enthusiasts.</p> <p>Because RTX 3090 has native INT8 tensors cores, it can provide better performance with INT…

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