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19 lines (19 loc) · 933 Bytes
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "BitNet-7B-KDE: A Colab-friendly Knowledge Distillation Engine with Ternary Weights and A8→A4 Activation Flip"
authors:
- family-names: "YourSurname"
given-names: "YourName"
orcid: "https://orcid.org/0000-0000-0000-0000"
- family-names: "Contributors"
given-names: "Project"
version: "0.1.0"
date-released: "2025-08-28"
url: "https://github.com/xgrayfoxss21/BitNet-7B-KDE"
repository-code: "https://github.com/xgrayfoxss21/BitNet-7B-KDE"
abstract: >
BitNet-7B-KDE is a practical pipeline for knowledge distillation to a BitNet-style
transformer with ternary weights and an A8→A4 activation flip. It includes a deterministic
teacher baseline, KD trace collection (Top-K + Other), a mini training loop, evaluation/QEI,
and a 7B forward-pass dry-run—optimized for Google Colab + Drive workflows.
license: "Apache-2.0"