Published February 19, 2024 | Version v0.10.2
Software Open

Xilinx/brevitas: v0.10.2

Creators

  • 1. @AMD
  • 2. AMD
  • 3. Zama.ai
  • 4. UC San Diego
  • 5. @zama-ai
  • 6. unpaired.
  • 7. National University of Science and Technology
  • 8. @AMD Research Labs
  • 9. @Quansight

Description

What's Changed

  • Fix (QuantLayer): make bias for QuantLayer optional by @fabianandresgrob in https://github.com/Xilinx/brevitas/pull/846
  • Fix (examples/llm): set group_size only for groupwise quantization by @nickfraser in https://github.com/Xilinx/brevitas/pull/853
  • Fix (gpfq): updating input processing and L1-norm constraints for GPFA2Q by @i-colbert in https://github.com/Xilinx/brevitas/pull/852
  • ImageNet PTQ example fix by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/863
  • feat (gen/quantize): Added device flag to quantize_model by @nickfraser in https://github.com/Xilinx/brevitas/pull/860
  • Docs: update README for 0.10.2 release by @Giuseppe5 in https://github.com/Xilinx/brevitas/pull/865

Full Changelog: https://github.com/Xilinx/brevitas/compare/v0.10.1...v0.10.2

Files

Xilinx/brevitas-v0.10.2.zip

Files (3.3 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/Xilinx/brevitas/tree/v0.10.2 (URL)