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LLaMA subreddit users discuss favorite medium-to-large MoE models

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is seeking recommendations for medium to large Mixture-of-Experts (MoE) models, specifically those in the 50-150 billion parameter range. While acknowledging the popularity of Qwen flash next, the user is interested in alternatives for general use, not prioritizing coding capabilities. Several models are mentioned as potential candidates, including GPT OSS 120b, Mistral 4 small 119b, Qwen 3.5 122b A10b, and Ling 3.0 flash, with the user soliciting further suggestions for other models or custom variants. AI

IMPACT Provides insights into user preferences and emerging models within the open-source LLM community.

RANK_REASON User discussion on model preferences, not a primary release or research.

Read on r/LocalLLaMA →

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

LLaMA subreddit users discuss favorite medium-to-large MoE models

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COVERAGE [1]

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

    What's your favorite medium to large (~50-150b params) MOE model? Aside from Qwen flash next.

    <!-- SC_OFF --><div class="md"><p>I recently got some more RAM on my desktop, which has opened up running larger MOEs by splitting them into RAM/VRAM. I know everyone loves Qwen flash next, but I'm curious what other ones are worth trying. </p> <p>On my list of to-try, I have:</p…

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