Instructions to use monomyth/fly-brain-grok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Grok
How to use monomyth/fly-brain-grok with Grok:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
fly-brain-grok
Distilled MaleCNS crop LIF gains (g) plus a 12-parameter DN→TCP unpacker (U) for the ReBot B601-DM kinematic arm in monomyth/rebot-motion-lab (fly-brain-grok branch).
This is not a Transformers checkpoint. Load with numpy.load.
Code and run instructions: github.com/monomyth/fly-brain-grok
Files
| File | What |
|---|---|
g-distill.npz |
g (per-class synaptic gains) and u (U params including w_contact) |
g-distill.json |
Same vectors + g_hash 7bca9074a252951b |
hop-probe.json |
Crop identity: 59,740 neurons, 267 scored DNs |
malecns-v1.0-crop-v1-optic-rich-mancType-DNfl-DNxl.npz |
Optic+DN CSR crop (optional; skip full graph prepare) |
eval-size20.json |
Last 20 mm live episode summary |
Load
import numpy as np
blob = np.load("g-distill.npz")
g, u = blob["g"], blob["u"] # u[-1] is w_contact
Pass g-distill.npz to controller/scripts/run_dn_bus.py --gains ....
Provenance
MaleCNS / MANC types from the public Janelia male CNS connectome. Overlay / k-NN teachers are not stored here. da_learned is false. After a successful hold the current client Folds without opening, so the cube is not released.