Matthew Berman’s short explains how DeepSeek uses less memory by combining compression, sparse attention, and lower-precision formats.
Matthew Berman published a 22-second YouTube Short on DeepSeek memory use.The notes point to DeepSeek V4 Flash as a model for local and hybrid AI workloads.Memory savings come from mixture-of-experts, compressed attention, sparse attention, and low-precision formats.FP8 and FP4 reduce storage needs for model…
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