SpikingBrain 7B – More efficient than classic LLMs

8 somethingsome 4 9/14/2025, 5:49:42 AM github.com ↗

Comments (4)

cpldcpu · 40m ago
>The current implementation adopts pseudo-spiking, where activations are approximated as spike-like signals at the tensor level, rather than true asynchronous event-driven spiking on neuromorphic hardware.

Isn't that in essence very similar to Quantization Aware Training (QaT)?

asdfasdf1 · 49m ago
SpikingBrain Technical Report: Spiking Brain-inspired Large Models https://arxiv.org/abs/2509.05276
bob1029 · 25m ago
cpldcpu · 6m ago
Well, it would still allow to deploy the trained model to SNN hardware, if it existed.