Help with my Model please

Only having a free Hugging Face account means I can't run/test my model

The deterministic brain for any LLM. Zero trainable parameters: [https://huggingface.co/DigitalEuan/gemma_glm ]

A single-file LLM-Goemetric Language Machine hybrid that combines probabilistic language model fluency with exact mathematical grounding from the Golay [24,12,8] code, Leech lattice Λ₂₄, and my wacky Universal Binary Principle (UBP) theory/system.

I can get this far:

• Self-test 18/18 pass
• Math accuracy muon/e 0.029%, α_s 0.27%, H₀ 0.21% (experimental)
• Hallucination block 100% (CRG distance > 6)
• Physics pass 100% (boson, electron, etc.)
• Sandbox safety 4/4 dangerous imports blocked
• Vision NRCI gap 0.0811 (crisp vs noisy)
• CRG taxonomy 114 static concepts
• Pipeline latency < 1ms
• File size ~48 KB (gemma_glm.py only)

there are other scripts in the data set available to make a whole raft of geometric abilities available:

1 UBP Substrate Golay [24,12,8] with 2325-entry syndrome table, Leech Λ₂₄, exact constants
2 Vector Engine 24-bit substrate, SVD vocabulary, IdeaZone centroid
3 CRG 114-concept knowledge graph, self-growing, persists to disk
4 Math Engine Exact rational arithmetic, UBP physics formulas
5 Script Engine Python sandbox, AST analysis, NRCI quality scoring
6 Vision Pipeline MOG patches, visual NRCI, dual-modality resonance
7 Resonance & Veto Multi-signal scoring, CRG-first constraints
8 LogitsProcessor Drop-in for HuggingFace models
9 Pipeline System 1/2 loop (LLM proposes → GLM verifies)
10 Speculative GLM draft → LLM verify (instant, no forward pass)
11 KV Pruning CRG-based attention cache relevance
12 ValueGeometry Self-assembling integer geometry from factorization
13 Agent Interactive REPL with all commands

The CRG grows each session

(it learns words/meaning as you use it). Unknown words get inferred from context and flagged as ⚡speculative until seen 3+ times. Learning persists to ~/.gemma_glm_crg.json.