Summary
A user on r/LocalLLaMA identified a significant gap in Qwen3.5 models between the 9B and 27B versions, finding the 9B too limited and the 27B too slow for local use. They propose an intermediate model, such as an 18B, to strike a better balance between performance and efficiency. This highlights a community desire for more granular model size options to optimize local AI deployments.
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Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros), [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P].
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