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START HERE

xai = explainable AI. Offline. No pip. Python ≥ 3.10 stdlib.

open

  1. index.html
  2. markdown under studies/ · dissertation/
  3. public portal: spaces/lyffseba/xai

prove it works

make test
# or
python3 studies/run.py test

✓ test passed (no network).

study

path why
Inkling studies/models/inkling/ public weights + vendored transformers
Kimi K3 studies/models/kimi-k3/ live API + KDA; weights ~2026-07-27
compare inkling-vs-kimi-k3 long-ctx / MoE bets
MSc dissertation/main.ipynb Concept Whitening

order (~1–2 days)

  1. map — STUDY.md · DASHBOARD · GLOSSARY
  2. Inkling — book 00 → SPEC → arch → modular_inkling.py
  3. Kimi K3 — book 00 → SPEC → lineage → KDA → API → limits
  4. compare again
  5. dissertation when data is ready

facts (do not invent)

  • Inkling: ~975B / 41B · 6/256+2 · relative PE · SWA/global · image+audio · 1M
  • Kimi K3: 2.8T · 16/896 · KDA+AttnRes · vision/video · 1M · active undisclosed · weights ETA 2026-07-27

offline vs online

offline online
make test / make check make refresh MODEL=…
read reference/ Hub / blog re-fetch

OFFLINE.md · mirrors: make sync