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LocalLLaMA users discuss stabilizing quantized LLMs

A user on the r/LocalLLaMA subreddit is asking for advice on stabilizing large, heavily quantized language models. They plan to experiment with reducing the temperature and top-p sampling parameters to mitigate erratic outputs from these models, especially when running on limited VRAM. AI

IMPACT Provides insights into practical techniques for optimizing local LLM performance and stability.

RANK_REASON User-generated discussion on a technical topic, not a formal release or announcement.

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

    Has anyone experimented with stabilizing low quant models with lower temp and top p?

    <!-- SC_OFF --><div class="md"><p>I was thinking about trying some bigger models out on my 80GB VRAM setup, but everything MoE is too slow with CPU offload. Otherwise there aren't many models that are purpose built for 80GB VRAM. Most of the bigger models require using a heavily …