KV Cache Quantization for Self-Forcing Video Generation: A 33-Method Empirical Study

1. 1Implement self-forcing video generation models
2. 2Analyze KV cache growth with rollout length
3. 3Apply quantization methods to compress KV cache
4. 4Evaluate performance of different quantization methods

AI engineers and researchers working on video generation models can benefit from this study to optimize their models' performance and scalability

💡 Quantizing KV cache can improve memory behavior and enable longer video generation

💡 33-method empirical study on KV cache quantization for self-forcing video generation