SMRTR summary
AirLLM lets a 70B language model run on a 4GB GPU by streaming one layer at a time from disk instead of loading the whole model into memory. The catch: it generates roughly one token every 5 to 35 seconds, making it useful only for offline batch processing, not real-time conversation.
SMRTR provides this summary for quick context. The original article belongs to Dev.to.
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