Summary
This update details progress on running the Qwen 3.5 35B A3B language model on a Raspberry Pi 5, utilizing a custom-modified llama.cpp. The developer has experimented with various quantizations, specifically a Q2_K_XL GGUF, to optimize inference performance. This work demonstrates significant advancements in making large language models runnable on low-power, edge devices.
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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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