Skip to content
#

quantization-aware-training

Here is 1 public repository matching this topic...

NEXUS LittleBit Compression & Recovery is an experimental AI platform supporting ultra-low-bit LLM quantization (8 to 0.1 BPW), custom AMD/WebGPU-accelerated inference, and five-stage recovery using up to 10 million training tokens. Designed to advance efficient, sovereign, offline AI on consumer hardware.

  • Updated Oct 10, 2026
  • HTML

Add this topic to your repo

To associate your repository with the quantization-aware-training topic, visit your repo's landing page and select "manage topics."

Learn more