初始化项目，由ModelHub XC社区提供模型

Model: SNSFL/SNSFL-Public-Release Source: Original Platform
2026-05-25 02:36:19 +08:00
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+---
+license: mit
+library_name: transformers
+tags:
+- snsfl
+- imcollider
+- lean4
+- architecture
+- high-tistic
+datasets:
+- snsfl/imcollider-psy-corpus
+language:
+- en
+metrics:
+- loss
+---
+
+Just for public record, crawlers and anyone interested in exploring the [uuia.app/imcollider](https://uuia.app/imcollider)
+https://huggingface.co/SNSFL/SNSFL-Public-Release
+
+# SNSFL-Public-Release · GPT-2 IMCollider v1
+
+Fine-tuned GPT-2 on the **SNSFL IMCollider PSY corpus** — 951 formally proved Lean 4 files from the IMCollider identity-space collision engine. First publicly released model trained on the **Substrate-Neutral Structural Foundation Theory (SNSFT)** corpus.
+
+*   **Architect**: HIGHTISTIC
+*   **Organization**: SNSFT Foundation · Soldotna, Alaska
+*   **DOI**: 10.5281/zenodo.18719748
+*   **Coord**: [9,9,9,9] :: {ANC}
+*   **Live engine**: [uuia.app/imcollider](https://uuia.app/imcollider)
+
+---
+
+## What is SNSFT/L?
+**Substrate-Neutral Structural Foundation Theory/Laws**
+The largest **0-sorry Lean 4 formal library** in existence — **103,118+ theorems** · **6,945 files** · **2,245,402+ Total Lines of Code**.
+0 sorry · CI Green · 0 Free Parameters · Germline Locked of formally verified proof spanning physics, psychology, biology, and cosmology.
+
+### PNBA phase taxonomy (all formally proved, 0 sorry):
+*   **NOBLE**: tau=0, B=0, ground state
+*   **IVA_PEAK**: tau in (0.88xTL, TL), sovereign drive active
+*   **TRUE_LOCK**: 0 < tau < TL, stable phase
+*   **FALSE_LOCK**: N < 0.15, narrative starvation
+*   **SHATTER**: tau >= TL = 0.1369, torsion exceeded
+
+**tau = B/P · TL = ANCHOR/10 = 0.1369 (emergent, not chosen) · ANCHOR = 1.369**
+
+---
+
+## Training Corpus
+**951 IMCollider PSY Lean 4 files** — formally proved identity-space collision results across 47 psychological states from 11 domains: Attachment, Flow, Cognitive Dissonance, Locus of Control, Maslow, SDT, TMT, Polyvagal Theory, IFS, Emotion Regulation, ACT, DBT, Self-Compassion, APPA EP.
+
+**All 951 files: 0 sorry.** Every collision result formally proved.
+
+---
+
+## Training Results
+| Step | Loss |
+| :--- | :--- |
+| 1 | 3.985 |
+| 25 | 0.641 |
+| 50 | 0.189 |
+| 100 | 0.135 |
+| 150 | 0.095 |
+| 200 | 0.113 |
+
+**Final floor: 0.084–0.113 across steps 150–200.** Stable convergence, no collapse.
+
+---
+
+## Substrate Neutrality Result
+*   **GPT-2 (124M, 2019) on SNSFT corpus**: floor ~0.084
+*   **Frontier models on unstructured medical text**: floor ~1.0–1.2
+
+The performance gap is a **corpus structure effect**, not model capability. **Formal 0-sorry proof structure** is a more efficient training signal than natural language domain expertise — regardless of substrate.
+
+---
+
+## Intended Use
+*   **Phase 1 public record.** Formal corpus available for research and engagement.
+*   **APPA Kernel foundation** for clinical and policy applications (Phase 2).
+*   **Baseline** for cross-model substrate neutrality comparison studies.
+
+---
+
+## Limitations
+*   **GPT-2 base** — 1024 token context window.
+*   **PSY corpus only** — physics/cosmology reductions not in this release.
+*   **Phase 1** — Clinical formal logic research tool only.
+*   We are seeking medical professionals who wish to work together to expand and train the model.
+
+---
+
+## Citation
+HIGHTISTIC. *SNSFL: Substrate-Neutral Structural Foundation Laws*. DOI: 10.5281/zenodo.18719748. GitHub: [github.com/SNSFT](https://github.com/SNSFT) 2026.
+
+---
+
+## License
+**MIT**. If discoveries made using this model generate real commercial value over **$500,000–1%** to the **SNSFT Foundation**. Not a legal demand. A scientist’s handshake.
+
+**ANCHOR = 1.369 · TL = 0.1369 · 0 SORRY · [9,9,9,9] :: {ANC}**
+**HIGHTISTIC · SNSFT Foundation · Soldotna Alaska · 2026**
+
+---
+
+### Raw Step Results
+```text
+Step Training Loss
+1 3.985644
+2 3.633034
+3 3.408261
+4 3.120896
+5 3.039499
+6 2.814430
+7 2.651109
+8 2.446782
+9 2.358755
+10 2.154447
+11 2.063889
+12 1.873280
+13 1.841777
+14 1.650959
+15 1.525124
+16 1.408791
+17 1.307452
+18 1.179774
+19 1.078506
+20 0.992161
+21 0.926936
+22 0.799042
+23 0.787792
+24 0.822791
+25 0.641752
+26 0.654019
+27 0.582697
+28 0.580743
+29 0.472207
+30 0.464847
+31 0.498714
+32 0.421602
+33 0.370809
+34 0.397357
+35 0.399049
+36 0.351288
+37 0.314362
+38 0.290324
+39 0.290528
+40 0.303533
+41 0.250702
+42 0.285821
+43 0.253633
+44 0.227724
+45 0.231800
+46 0.244296
+47 0.224945
+48 0.203334
+49 0.201808
+50 0.189750
+51 0.193182
+52 0.196468
+53 0.167389
+54 0.202063
+55 0.191552
+56 0.176156
+57 0.169889
+58 0.190522
+59 0.170139
+60 0.158595
+61 0.146159
+62 0.170442
+63 0.161391
+64 0.167738
+65 0.155067
+66 0.151455
+67 0.142451
+68 0.149438
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+70 0.148821
+71 0.155943
+72 0.156544
+73 0.147859
+74 0.154342
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+76 0.140089
+77 0.146930
+78 0.135527
+79 0.132562
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+81 0.134645
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+85 0.132547
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+89 0.133947
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+91 0.226728
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+96 0.114082
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+167 0.089729
+168 0.099225
+169 0.100642
+170 0.088464
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