spb/modelmap Public License
Internal cartography of local LLMs on Apple Silicon — registered, gated, negative-first. Public atlas at modelmap.io.
Python 66.3%
JavaScript 24.5%
CSS 8.1%
Shell 0.7%
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expA run #2: first positive maps (agreement, arith_valid) + real noise floor
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- v2 promptsets: structure-borne, token-balanced (overlap certificates); capture_pooled returns mean+last-token reps in one pass - Strict twin gate falsified again (word_order twin acc 0.96 — subword statistics); gate retired, differential (real-twin) is the map - agreement: 25/28 signal layers (max dSel +0.379); arith_valid: real 0.86/0.90 vs twin 0.56, strongest last-token; word_order null-dominated - First real noise floor: top-5 replication ~0.54 off ceiling; dataset shift > seed SD on only 3-8/28 layers (registered 1/3 not met) - atlas probes/v2 published (Level 1, per-property verdicts); site charts generalized to any probes entry; home leads with agreement map Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Phase 5 substrate + expH run #1: first measured result
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- mapcard v0 schema + publish gate (G23), stats core (bootstrap/FDR/ replication), probe harness with built-in shuffled-label controls (unit test caught a fancy-indexing shuffle bug pre-science) - expH hypothesis registered before run; run #1 on M5 Max 48GB: (A) mmap 3.2-10.8x zarr on random-batch reads (confirmed >=2x bar); (B) MLX capture nearly free (1.02x), torch-MPS retain 1.22x (confirmed) - expA hypothesis registered (dataset-variance > seed-variance) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Bootstrap modelmap: charter-compliant skeleton, tooling, and modelmap.io platform
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- Repo skeleton per charter §3 with mandatory author headers everywhere - tools/check_headers.py (gates commits), new_experiment.py, new_map.py - benchmarks: hardware_manifest.py (sysctl-based) + harness skeleton - experiments/micro A-H scaffolded with empty seven-field blocks - site/: modelmap.io platform (Express, light theme, English), coherent with localvm-research/web — Home, Research, Experiments, Atlas (with confidence Levels 0-3), Results, Code, About; attribution footer Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>