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Wan 2.2 gets post-training quantization to W4A4

A post-training quantization technique reduces Wan 2.2 I2V model to W4A4 precision, combining weights and activations into a single model. The quantized model is available on HuggingFace, with code on GitHub, aiming to reduce memory usage while maintaining quality.

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14 days ago
Wan 2.2 gets post-training quantization to W4A4 — AIBriefs