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john-broadway/SmolLM2-360M-RYS-12-15-GGUF
SmolLM2-360M-RYS-12-15-GGUF is a machine learning model from john-broadway. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
SmolLM2-360M-Instruct with layers 12-14 duplicated. A mid-stack reasoning + math circuit runs twice on every forward pass.
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From the Hugging Face model README
SmolLM2-360M-Instruct with layers 12-14 duplicated. A mid-stack reasoning + math circuit runs twice on every forward pass.
32 base layers → 35 after duplication. No training, no merging, no weight changes.
Reasoning 29.41% → 52.94% (+23.53). Math 0.279 → 0.3688 (+8.98). EQ 77.66 → 72.74 (−4.92).
| Metric | Baseline | RYS (12,15) | Delta |
|---|---|---|---|
| Math | 0.279 | 0.3688 | +8.98 |
| EQ | 77.66 | 72.74 | −4.92 |
| Reasoning | 29.41% | 52.94% | +23.53 |
The middle SmolLM2 sibling. Swept with the full block-size search [3,4,5] across 66 configurations — the same search depth as the rest of the v2 corpus, broader than the SmolLM2-1.7B sibling's narrower [3,4] search. Responds normally with +23.53 reasoning and a +8.98 math gain, reinforcing the 135M's signal: the 1.7B negative result is the anomaly, not the family. The narrower 1.7B sweep remains a methodological caveat worth a re-sweep with full blocks to resolve definitively.
Pick this when you want a tiny model with strong reasoning + math lift and can absorb the small EQ trade-off.
llama-server -m SmolLM2-360M-RYS-12-15-Q4_K_M.gguf -ngl 99
66 configurations tested. (12,15) block-3 is the best-combined pick. Full per-config sweep + cross-architecture analysis: v2 dataset.
Part of the RYS Sovereign Collection v2.
v1 — Qwen2.5 cross-scale + Qwen3-32B headline crossover. 5 model repos.
v2 — cross-architecture corpus. 21 model variants across 10 architecture families. Inverse correlation (r = −0.726): weak baselines lift more, in their weakest dimension. 13 deployable RYS-applied weight repos covering every non-zero-lift variant.
SmolLM2 family picture (all Q4_K_M):
SmolLM2-135M-RYS-18-22-GGUF — baseline reasoning 17.65%, peak Δ +17.65% (responds)SmolLM2-1.7B-RYS-eval — baseline reasoning 58.82%, peak Δ +0.00% (does NOT respond; eval-only — no RYS-applied weights since no lift to deliver)Credit
John Broadway, with collaboration from Claude (Opus 4.6 in April 2026 sweep generation and build pipeline; Opus 4.7 in May 2026 cross-architecture analysis and publication). Original RYS method by David Ng on Qwen2-72B; sweep + probe toolkit by alainnothere.