Commit Graph

2 Commits

Author SHA1 Message Date
d619473190 epimem: One-shot gradient-free learning on frozen transformers
Tommi Niemi / Rotko Networks

- paper.md: full paper
- python/epimem.py: standalone Python reproduction
- export_onnx.py: ONNX export from HuggingFace
- results/memory_bank.json: example hidden-state vectors (896-dim)
- schema/: FlatBuffer schemas

Reproduce: pip install transformers torch && python python/epimem.py
(Downloads Qwen 2.5 0.5B automatically from HuggingFace)
2026-04-05 01:51:19 +07:00
404df92ade epimem: One-shot gradient-free learning on frozen transformers
- paper.md: full paper (Tommi Niemi / Rotko Networks)
- python/epimem.py: standalone Python reproduction
- export_onnx.py: ONNX export from HuggingFace (generates model files)
- results/memory_bank.json: example hidden-state vectors (896-dim)
- schema/: FlatBuffer schemas for memory bank + organism
- models/tokenizer/: Qwen 2.5 tokenizer files

Run: pip install transformers torch && python python/epimem.py
(Downloads Qwen 2.5 automatically from HuggingFace)
2026-04-05 01:46:40 +07:00