docs: de-stale model card to live state (30L dual-stream, ep~6205, EP-AVG ATL 6.4339 @ ep6132, chip ATL 1.2637, 128ctx, 18 surgeries + cord)
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README.md
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**Maintainer:** RFI-IRFOS, contact@ternlang.com
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**Repository:** https://github.com/rfi-irfos/ternary-intelligence-stack
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**License:** LGPL-3.0-or-later (model weights, training code, inference runtime). Platform infrastructure (API server, MCP tooling, HDL) is BSL-1.1. See [README §Licensing](README.md#licensing) for the full tier breakdown.
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**Last updated:** 2026-
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**Training status:**
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---
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|----------|-------|
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| Architecture | **Dual-stream** Ternary MoE (Mixture of Experts) |
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| Streams | **2** (bifurcated via cord surgery ep4202, 2026-05-27) |
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| Layers | **
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| Hidden size | **2×256H** (256H per stream) |
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| Anastomosis gates | **6** — bidirectional F32 cross-stream fusion at Fibonacci layers [2,3,5,8,13,21] |
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| Experts | 12 per stream (Top-3 routing; shared FFN weights, independent routing gates) |
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| Context length |
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| Vocabulary | 32,000 tokens (ByteLevel BPE — EN/DE/FR/ES/PT/IT/NL/PL) |
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| Weight representation | Ternary {-1, 0, +1} with STE training |
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| Gate linear | F32 |
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| Positional encoding | RoPE (rotate_half) |
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| Optimizer | AdamW, cosine LR decay, BATCH=1 (post-cord) |
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| Parameters (total) | **~
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| Safetensors | **2,
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| Surgeries | **
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The central technical innovation is the **@sparseskip** primitive — a
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learned sparse-skip layer that dynamically bypasses computation paths
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| **Ep4202** | **CORD surgery** | **25L → 2×25L dual-stream** | — | **2026-05-27T16:44Z — first ever autonomous single→dual-stream bifurcation** |
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| Ep~4203 | 9.3241 | ← first post-cord epoch avg | **8.7123** (chip, new ATL) | Dual-stream live |
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| Ep~4207 | S13 fired | 25L→26L surgery (both streams) | **8.6852** (chip, new ATL) | 2026-05-27T17:40Z; fib_index 6→7 |
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The benchmark suite runs 5 fixed prompts covering English, German,
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multilingual, narrative, and technical domains. Results are reproducible
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**Known limitations:**
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- At current training depth (~
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the model produces partially coherent text in familiar domains
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consistent grammatical structure across longer sequences.
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- Context window of
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maintain coherence over longer passages.
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- Ternary quantization trades weight precision for size — at this scale,
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some representational capacity is lost relative to F32 equivalents.
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by the RFI-IRFOS team.
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2. **Surgery governor:** Architectural growth (layer addition via net2net)
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is fully autonomous — the `EvolutionManager` fires on a Fibonacci-gated
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plateau detector with no human intervention required. **
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(12L→
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executed autonomously to date. The cord surgery (ep4202, 2026-05-27) is the
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first documented autonomous single-to-dual-stream bifurcation in a live
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ternary MoE.
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**Maintainer:** RFI-IRFOS, contact@ternlang.com
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**Repository:** https://github.com/rfi-irfos/ternary-intelligence-stack
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**License:** LGPL-3.0-or-later (model weights, training code, inference runtime). Platform infrastructure (API server, MCP tooling, HDL) is BSL-1.1. See [README §Licensing](README.md#licensing) for the full tier breakdown.
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**Last updated:** 2026-06-12
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**Training status:** Active (ep~6205) on Modal T4 — **30L dual-stream** · 18 depth surgeries + 1 cord surgery complete. Cord surgery fired autonomously ep4202, 2026-05-27T16:44Z — first documented single-to-dual-stream bifurcation mid-training. S17 (29L→30L) fired ep5610, 2026-06-06 (checkpoint-mtime verified). Context was reduced 256→128 — memory-forced: a depth surgery's activation memory exceeded the L4's VRAM; restoring 256 (via 2× L4 / tighter memory management) is planned. Best EP-AVG ATL **6.4339** (ep6132, 30L). Chip ATL **1.2637** (best single intra-batch loss). fib_index=7 · window=34 · Gen3 step1/6. (Resumed 2026-06-12 after a ~1-week Anthropic billing-migration gap.)
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---
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|----------|-------|
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| Architecture | **Dual-stream** Ternary MoE (Mixture of Experts) |
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| Streams | **2** (bifurcated via cord surgery ep4202, 2026-05-27) |
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| Layers | **30** per stream |
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| Hidden size | **2×256H** (256H per stream) |
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| Anastomosis gates | **6** — bidirectional F32 cross-stream fusion at Fibonacci layers [2,3,5,8,13,21] |
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| Experts | 12 per stream (Top-3 routing; shared FFN weights, independent routing gates) |
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| Context length | 128 tokens (reduced from 256, memory-forced; 256 restore planned) |
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| Vocabulary | 32,000 tokens (ByteLevel BPE — EN/DE/FR/ES/PT/IT/NL/PL) |
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| Weight representation | Ternary {-1, 0, +1} with STE training |
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| Gate linear | F32 |
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| Positional encoding | RoPE (rotate_half) |
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| Optimizer | AdamW, cosine LR decay, BATCH=1 (post-cord) |
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| Parameters (total) | **~221.7M** |
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| Safetensors | **2,356 tensors · ~845 MB** |
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| Surgeries | **18 depth (S1–S17)** + **1 cord surgery** = 19 total surgical events |
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The central technical innovation is the **@sparseskip** primitive — a
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learned sparse-skip layer that dynamically bypasses computation paths
|
|
|
|
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| **Ep4202** | **CORD surgery** | **25L → 2×25L dual-stream** | — | **2026-05-27T16:44Z — first ever autonomous single→dual-stream bifurcation** |
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| Ep~4203 | 9.3241 | ← first post-cord epoch avg | **8.7123** (chip, new ATL) | Dual-stream live |
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| Ep~4207 | S13 fired | 25L→26L surgery (both streams) | **8.6852** (chip, new ATL) | 2026-05-27T17:40Z; fib_index 6→7 |
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| ~ep4280 | S14 fired | 26L→27L (both streams) | — | 2026-05-29 |
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| ~ep4350 | S15 fired | 27L→28L (both streams) | — | 2026-05-29 |
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| ~ep4453 | backbone-trains cliff | EP-AVG **9.38 → 8.43** in <100 ep | — | DiffLayerNorm fix unfroze the transformer body — largest structural drop in the run |
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| ~ep4740 | S16 fired | 28L→29L (both streams) | — | 2026-05-31 (✓ checkpoint-mtime) |
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| ep5610 | S17 fired | 29L→30L (both streams) | — | 2026-06-06 21:08 (✓ checkpoint-mtime) |
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| ep6132 | EP-AVG ATL **6.4339** | 30L — all-time best | **1.2637** (chip) | best EP-AVG aggregate; chip = best single intra-batch loss |
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| ~ep6205 | training active | 30L dual-stream, live | — | 128CTX · BATCH=1 · Modal T4 · resumed 2026-06-12 |
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The benchmark suite runs 5 fixed prompts covering English, German,
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multilingual, narrative, and technical domains. Results are reproducible
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**Known limitations:**
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- At current training depth (~ep6205, 30L dual-stream), output quality is
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pre-fluency: the model produces partially coherent text in familiar domains
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but lacks consistent grammatical structure across longer sequences.
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- Context window of 128 tokens is shorter than contemporary LLMs; cannot
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maintain coherence over longer passages.
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- Ternary quantization trades weight precision for size — at this scale,
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some representational capacity is lost relative to F32 equivalents.
|
|
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by the RFI-IRFOS team.
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2. **Surgery governor:** Architectural growth (layer addition via net2net)
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is fully autonomous — the `EvolutionManager` fires on a Fibonacci-gated
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| 235 |
+
plateau detector with no human intervention required. **18 depth surgeries
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(12L→30L) + 1 cord surgery (single→dual-stream bifurcation)** have been
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executed autonomously to date. The cord surgery (ep4202, 2026-05-27) is the
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first documented autonomous single-to-dual-stream bifurcation in a live
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ternary MoE.
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