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The DeepSeek-V4.1-Flash model, a multimodal Mixture-of-Experts model with 552B backbone parameters and support for contexts of up to one million tokens, is introduced, substantially improving cost efficiency for agentic workloads and pushing the limits of KV cache compression.
Bounded modulation in Self-Modulating QFWPs not only stabilizes memory in long sequences but also enhances predictive performance across diverse quantum forecasting tasks.
