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john-broadway/Qwen3-8B-RYS-16-19-GGUF
Qwen3-8B-RYS-16-19-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.
RYS-enhanced Qwen3-8B with layers 16-19 duplicated. 36 layers expanded to 39. Zero training, zero weight changes.
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From the Hugging Face model README
RYS-enhanced Qwen3-8B with layers 16-19 duplicated. 36 layers expanded to 39. Zero training, zero weight changes.
Math +6.7%, Reasoning +23.5%. Baseline reasoning healed from 53% to 76%.
| Metric | Baseline | RYS (16,19) | Delta |
|---|---|---|---|
| Math | 0.6568 | 0.7240 | +6.7% |
| EQ | 91.91 | 90.74 | -1.17 |
| Reasoning | 52.94% | 76.47% | +23.5% |
117 configurations tested. The 8B's baseline reasoning was the weakest in the Qwen3 family (53%). RYS at (16,19) heals it to 76%.
llama-server -m Qwen3-8B-RYS-16-19-Q4_K_M.gguf -ngl 99
117 configurations tested. Sweep results published with the model files.
Part of the v2 Qwen3-family cohort — parallel Qwen3-family RYS-applied weights from April 2026, expanded alongside the v1 Qwen2.5 cross-scale collection. (The "four model scales" originally referenced here was a Qwen3-only expansion; the original v1 writeup described Qwen2.5 cross-scale + Qwen3-32B as headline.)
v1 — Qwen2.5 cross-scale + Qwen3-32B headline crossover (the original v1 intent per the 2026-04-11 writeup). 5 model repos on HuggingFace; see john-broadway.
v2 Qwen3-family cohort (this card's cohort — parallel Qwen3-family RYS-applied weights, April 2026):
john-broadway/Qwen3-0.6B-RYS-10-13-GGUFjohn-broadway/Qwen3-1.7B-RYS-7-10-GGUFjohn-broadway/Qwen3-8B-RYS-16-19-GGUFv2 cross-architecture corpus (21 model variants spanning 10 architecture families): john-broadway/rys-sovereign-collection-v2
Attribution: John Broadway, with collaboration from Claude (Opus 4.6 in April 2026 build; Opus 4.7 in May 2026 cross-architecture analysis and family-relabeling). Original RYS method by David Ng on Qwen2-72B; sweep toolkit by alainnothere.
This model's place in the v2 curve: baseline reasoning 52.94%, peak RYS Δ +29.41%. Of 117 swept configurations, 71 boost reasoning >5% — the highest hit rate in the corpus. The (16,19) block is one of the consistent boosters at L16-19.
Across the 21 model variants (10 architecture families) surveyed in john-broadway/rys-sovereign-collection-v2:
v2 attribution: John Broadway, with cross-architecture analysis by Claude (Opus 4.7). Original RYS method by David Ng; circuit-finder toolkit by alainnothere.