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ggml-org/llama.cpp#5761 more on this topic :) |
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A team from Microsoft recently came up with 1-bit quantization drastically reducing memory footprint and token throughput. The weights are effectively encoded as a ternary bit {-1, 0, 1}. Reported results are super encouraging.
@ggerganov is it of interest for GGML? I can implement it and perform a bunch of benchmarks.
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