|
Download README.md from JMullings/LLM-XRay: direct link, hf CLI and curl.
- Browser
- Download file 887 Bytes
-
https://huggingface.co/spaces/JMullings/LLM-XRay/resolve/main/README.md
- Command line
-
hf download hf://spaces/JMullings/LLM-XRay/README.md
-
curl -L -o README.md https://huggingface.co/spaces/JMullings/LLM-XRay/resolve/main/README.md
887 Bytes
| title: LLM-X-RAY Leaderboard | |
| emoji: 🔬 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 5.20.0 | |
| app_file: app.py | |
| pinned: true | |
| license: mit | |
| short_description: Geodesic LLM Auditing & Hallucination Observatory | |
| tags: | |
| - leaderboard | |
| - spectral-analysis | |
| - hso-perceptron | |
| # LLM-X-RAY: Operator-Geometric Auditing & Hallucination Observatory | |
| This Space implements the official **HSO-Perceptron (Hilbert-Schmidt Operator)** benchmark and auditing registry for Large Language Models. | |
| ### Architecture | |
| - **Layer A (Weight SVD):** Stable rank ($r_s$), effective rank ($r_{\text{eff}}$), and condition number ($\kappa$). | |
| - **Layer B (Activation / HSO Observer):** Ledoit-Wolf regularized covariance, $\tau = 0.95$ observable subspace rank ($d$), and blind quotient manifold ($\ker$). | |
| - **Layer C (Behavioral Battery):** Factual probes, adversarial traps, and paraphrase stability. |