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LLM users debate practical use of 2-bit and 3-bit quantization

By PulseAugur Editorial · [1 sources] ·

A discussion on the r/LocalLLaMA subreddit explores the practical use of different quantization levels for large language models (LLMs). Users are inquiring about daily usage of 2-bit and 3-bit quantization, seeking real-world experiences beyond benchmarks. The conversation also touches upon what quantization level is considered "basically lossless" based on Kullback-Leibler divergence (KLD). AI

RANK_REASON User discussion on quantization levels for LLMs on Reddit.

Read on r/LocalLLaMA →

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

LLM users debate practical use of 2-bit and 3-bit quantization

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User discussion on quantization levels for LLMs on Reddit.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Queasy_Back2588 ·

    What quant do you actually use day to day? Anyone happy with 2-bit or 3-bit?

    <!-- SC_OFF --><div class="md"><p>Curious what everyone runs in practice:</p> <p>- What quant do you use most, and for what (chat, coding, agents)?</p> <p>- 2-bit: do you use it? Is it actually usable or too broken?</p> <p>- 3-bit: good enough for coding and more complex stuff, o…

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