Asilarkness/flybrain-lm
2200
FlyBrain LM — Drosophila whole-brain language model
A character of BPE-level language model whose recurrent core IS the real adult fruit-fly connectome (FlyWire v783, top-48k neurons by out-degree, 6.65M biological synapses). Only synaptic strengths + input/output lenses are trained; wiring topology is frozen fly anatomy.
Status: iter 3000, best (newchat+cot)/2 val 3.329
Files
model.safetensors— bf16 weights (buffers: Widx topology, params: Wval/Win/emb/lens)tokenizer.json— BPE-4k trained on TinyStoriesconfig.json— architecture sizesflybrain.py— standalone inference (torch+safetensors+tokenizers)
Use
from flybrain import load_model, generate
m, tok, cfg = load_model('REPO_ID')
print(generate(m, tok, 'Human: Hi Fly!\nFly:'))