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kahnn-nano
thefinalboss/kahnn-nano
kahnn-nano is a machine learning model from thefinalboss. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
Neuroscience-inspired non-Transformer model from AFKmoney/kahnn.
Access
Public
Updated Sep 10, 2026
Repo size
1.7 GB
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0
Public
Repo makeup
Click a slice to open those files.
.pt1.7 GB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026
- SHA
- 4a702217
Model card
From the Hugging Face model README
Kahnn nano (~1.8M) — CPU Chinchilla run + lifelong teach
Neuroscience-inspired non-Transformer model from AFKmoney/kahnn.
Files
| File | What |
|---|---|
ckpt_final.pt | Nano after ~37M tokens CPU pretrain (2026-09-09) |
ckpt_teach.pt | Same + taught fact « La capitale du Canada est Ottawa. » |
Code
All training / teach / forget code lives in the GitHub repo (not duplicated here):
train_universal.py,teach.py,generate.py- Docs:
docs/UNIVERSAL_TRAINING.md,docs/LIFELONG_LEARNING.md,docs/CPU_RUN_LOG.md
git clone https://github.com/AFKmoney/kahnn
cd kahnn
pip install -r requirements.txt
# download weights from this Hub repo into ./runs/
python generate.py --checkpoint ./runs/nano_base/ckpt_final.pt --prompt "Once upon a time" --device cpu
python teach.py probe --text "capitale du Canada" --resume ./runs/teach/ckpt_teach.pt --config nano
Honest metrics (CPU box, 2026-09-09)
- ~36.99M tokens, ~1362 tok/s average at end, CE loss still ~10.5 (generation still weak)
- Teach exact fact → memory coherence ~1.0; partial probe ~0.43
- Prefer lifelong engram memory over fluent generation at this size/budget
License
See GitHub repo.
- Library
- pytorch
- License
- mit
- Languages
- en, fr
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026