log-linear-attention colab?
Hello! I'm an enthusiastic user of the RWKV model and greatly appreciate its unique approach as a parallelizable RNN with Transformer-level performance and attention-free design. I've recently come across the promising advancements in log-linear attention methods, which offer efficient linear-time complexity and effective long-range context handling.
Given that RWKV already excels in linear complexity and efficient long-context modeling (especially with RWKV-X hybrid architectures integrating sparse attention), I believe there is a strong synergy potential between your log-linear attention implementations and the RWKV apps ecosystem.
Could we explore a collaboration or integration effort that combines the best of both worlds: RWKV’s efficient, scalable architectures with your state-of-the-art log-linear attention? This could advance the field by creating even more powerful, resource-friendly AI models accessible to the broader community.
Such cooperation might pave the way for breakthroughs in AI performance and scalability, making the technology more practical and beneficial for everyone. Looking forward to any feedback or possible directions for collaboration!
Thank you for your amazing work and consideration. (I'm not officially log-linear-attention representative, just user who love using rwkv offline on mobile phone and macbook )
Source: BlinkDL/RWKV-LM