toolsWTF 6.3via r/LocalLLaMA
Muse Spark on M3U 256 GB
"Local LLM enjoyers are now running 800B models on Mac minis at the speed of a slow reader."
Explain Like I'm Normal
A user on the LocalLLaMA subreddit successfully ran an 816-billion parameter model on a high-spec Mac Studio with 256GB of RAM. Achieving 4 tokens per second on a model of this scale is a significant feat for consumer-grade hardware, proving that 'god-scale' models are no longer exclusive to H100 clusters. The setup uses aggressive quantization and optimization to squeeze massive weights into unified memory.
#localllama#macstudio#inference#quantization
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