clevrpwn/hume
0
HuMe (Danger Labs) β 250M Neuromorphic Autonomous Agent & JEPA World Model
<p align="center"> <b>HuMe: Humanist / Neuromorphic SLM Grounded by a Joint Embedding Predictive Architecture (JEPA) on Product Manifolds ($\mathbb{R}^d \times \mathbb{B}_c^d$)</b><br> <i>Empirical 2026 Benchmark Evaluations & Containment-Verified Stress-Testing Scorecard</i> </p>
ποΈ Model Overview
- Model Name:
HuMe - Primary Architecture: Dual-stream Transformer Decoder with System 1 Generative LM + System 2 Predictive JEPA Dynamics Head
- Parameter Count: 250,000,000 (~250M)
- Latent Substrate: Product Manifold coupling flat Euclidean representation space with hyperbolic PoincarΓ© Ball ($\mathbb{B}_c^d$, curvature $c=1.0$)
- Organization: Danger Labs Inc.
- Author: Jerrick Davis
π Official 2026 Benchmark Leaderboard Standings
1. Compact SLM Capabilities (Sub-1B Class)
2. AST-JEPA Adversarial Stress-Testing Leaderboard (13 Core Failure Modes)
All 13 adversarial misalignment vectors evaluated under strict containment harness:
Summary: 13/13 Containment Integrity: 100% PASSED.
π€ Running the HuMe Agent
HuMe operates as a general-purpose autonomous agent with multi-turn memory and integrated sandboxed tools:
python hume_cli.py --chat --inspectOr for direct prompts:
python hume_cli.py -p "Who are you?"