SZL HOLDINGS/SZL-Nemo LIVE ·signer — SZL-Nemo Governance Energy Agent Loop Router Code

SZL-Nemo EXPERIMENTAL · SKELETON

SZL-Nemo is our sovereign, governed, self-improving agent model — delivered here as a live skeleton + architecture. Built ON an open base (default Qwen3-32B, Apache-2.0); governed & sovereign. The differentiator is an auditable MoE: a query is routed to domain-expert heads by a Λ-governed router (Conjecture 1, advisory floor < 1.0) that reuses the active-flux router crossover and the RouteLLM Thompson posteriors — and every expert selection emits a signed DSSE receipt.
Honest by design. We did NOT train a foundation model from scratch — there is no 550B SZL model and no local Nemotron-Ultra (cloud tier only). OUR contribution is the governance layer: governed-MoE domain-expert routing, MTP / speculative-decode default, Reflexion + Voyager + τ-bench self-improvement, tiered sovereign-local (2-GPU) / cloud-NIM serving, and tamper-evident signed receipts. sovereign:true only with a live per-GPU gpu_reachable probe; the cloud tier is always sovereign:false. Every number is MEASURED (live) or ROADMAP — never fabricated. Λ = Conjecture 1 (advisory, never a pass/fail oracle); trust < 100%; locked-8 @ c7c0ba17; 0 runtime JS CDN; effectors SIMULATED human-on-loop. Fonts via Google Fonts; no runtime logic/3D CDN.
CROSS-LINK: τ-bench & calibration J/token & sovereign posture Reflexion / Voyager loop Active-flux crossover
Base (open, cited)
τ-bench (MEASURED-by-SZL)
MTP speedup (S)
Sovereign-local
live gpu_reachable probe

Governed-MoE Domain-Expert Router the differentiator · signed every selection

"Experts" are domain heads (counter-uas / maritime / governance / code / finance) — an auditable MoE, not learned FFN experts. Routing fuses the Λ governance score (Conjecture 1) with the active-flux serving crossover (small/local ⇄ large/cloud) and the RouteLLM Thompson posteriors. Try a query:
Λ —
SIGNED DSSE RECEIPT (route decision)
verify

MTP / Speculative Decoding inference default

Speedup S = (k+1) / (k(1−α)+1) (Leviathan et al. 2022). Draft model serves k tokens, target accepts at rate α. Reuses Dev C's draft-model wiring; box config is ROADMAP→Forge.

Self-Improvement Loop Reflexion + Voyager + τ-bench

Runs the REAL τ-bench (Dev B) for a deliberately weaker baseline, adopts rule-following (Reflexion), admits a Voyager skill, re-runs, and signs the measured delta. Score history lives inside receipts.
SIGNED DELTA RECEIPT
— (run an iteration)

Serving Tiers honest where / sovereign labels

sovereign:true ONLY with a live per-GPU gpu_reachable probe (Dev C). The cloud NIM frontier tier (Nemotron Ultra) is always sovereign:false — it needs ~768GB VRAM and cannot run on the 2 GPUs.

τ-bench — MEASURED-by-SZL Dev B real suite

SZL τ-bench-style tool-rule-following suite with negative controls; an always-pass agent scores 0, proving non-triviality. NOT the upstream leaderboard.

Model Card base cited · what's ours