TokenPost·
MACaQ Quantizes a 122-Billion-Parameter Model in 64 Minutes

The post-training method uses four-bit weights and activations and matched the best Llama-3-8B perplexity result with one-eleventh the quantization time.
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The post-training method uses four-bit weights and activations and matched the best Llama-3-8B perplexity result with one-eleventh the quantization time.