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New 'Wall Attention' Variant Delivers Per-Channel Forgetting Rates and Efficient Autoregressive Decoding With Full GQA Support

New 'Wall Attention' Variant Delivers Per-Channel Forgetting Rates and Efficient Autoregressive Decoding With Full GQA Support

Jun 03, 2026
GitHub

A new attention variant called Wall Attention launches with per-channel, per-timestep multiplicative decay for independent forgetting rates, backed by optimized Triton kernels enabling efficient autoregressive decoding, full GQA support, attention sinks, sliding windows, and sequence packing with verified numerical accuracy.

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