Mathematical Brain 8-Level architecture — full training library
Project description
MB-8: Mathematical Brain 8-Level Architecture
MB-8 — full-training library for a novel 8-level neural architecture combining SSM, Hopfield networks, working memory, predictive coding, and plasticity mechanisms.
Features
- 8 architectural levels: Membrane → Synapse → Dendrites → SSM → Hopfield/Phase → Working Memory → Error → Plasticity/Consolidation
- Multiple model variants: SingleStream, DualStream, MB8ForCausalLM (full 8-level)
- Training modes: Pretrain (CLM), SFT (chat-style), GRPO (RL)
- Notebook API: Transformers-style
Trainer+TrainingArgumentsfor Jupyter/Colab - CLI tools:
mb8-train,mb8-sft,mb8-grpo,mb8-eval,mb8-inspect - Epistemic framework: Hypothesis-driven development with go/no-go criteria
Quickstart
from mb8 import MB8Config, MB8ForCausalLM, TrainingArguments, Trainer
model = MB8ForCausalLM(MB8Config.from_preset("tiny_10m"))
trainer = Trainer(
model=model,
args=TrainingArguments(output_dir="outputs", max_steps=100),
train_dataset=...,
)
trainer.train()
Installation
pip install mb8
Documentation
See api-docs/ for full reference and quickstart guide.
License
MIT
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