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wepiqx/RINIQ-GGUF
RINIQ-GGUF is a machine learning model from wepiqx. 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.
Finetune of Qwen/Qwen3.5-9B by layer surgery (all donors descend from the same Qwen3.5-9B ancestor).
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.gguf17 GB · 100%
From the Hugging Face model README
Finetune of Qwen/Qwen3.5-9B by layer surgery (all donors descend from the same Qwen3.5-9B ancestor).
RINIQ is a new finetune built by layer surgery, quantized by the MERNIK
engine. Three Qwen3.5-9B donors, one 427-tensor trunk (Ornith's MTP head
excluded), per-block donor maps — no averaging of divergent blocks, ever.
Code and protocol: wepiqx/MERNIK
(full ledger in FUSION.md there).
Qwen3.5-9B is a natively multimodal family (early-fusion vision+language,
jointly trained — not a bolted-on encoder). This repo ships
mmproj-F16.gguf (stock Qwen3.5-9B vision projector, ~876 MB) next to the
text quants: load both for image/video input, omit --mmproj for
text-only.
llama-server -m RINIQ-M2-MERNIK-5100-Q38.gguf --mmproj mmproj-F16.gguf --port 28082 -ngl 99 -c 8192 --jinja
Note (MERNIK honesty): the HE/PPL verdicts below certify the text trunk only. Vision quality on fused RINIQ blocks is UNVERIFIED — no vision bench yet.
❤ If RINIQ runs on your hardware, consider sponsoring @wepiqx — consumer-GPU research, every scar public.
| Build | Size | PPL (ctx1024) | GPQA-rec | HE pass@1 | HE+ | Empties |
|---|---|---|---|---|---|---|
| RINIQ-M2-MERNIK-5100-Q38 👑 | 5.0 GB | 7.6130 | 47.47% | 92.07% (151/164) | 87.8 | 8 — own-qwen38 lens: lost everything, won verdict |
| RINIQ-M2-MERNIK-5100 | 5.0 GB | 7.5819 | 50.00% | 91.46% (150/164) | 87.2 | 6 |
| RINIQ-M1-MERNIK-5100 | 5.0 GB | 7.6242 | 51.01% | 90.85% (149/164) | 85.4 | 7 |
| RINIQ-M3-MERNIK-5100 | 5.0 GB | 7.7111 | 50.00% | 86.59% (142/164) | 83.5 | 13 — soup buried |
| RINIQ-M4a-MERNIK-5100 | 5.0 GB | 7.5898 | 51.01% | 91.46% (150/164) | 87.2 | 4 — ties M2 + M1, best decisiveness |
| RINIQ-M4b-MERNIK-5100 | 5.0 GB | 7.5743 | 48.48% | 89.63% (147/164) | 84.1 | 4 — Orn-25 stronger than Ox-25 by 1.8pp |
| RINIQ-M4c-MERNIK-5100 | 5.0 GB | 7.5863 | 47.98% | 90.85% (149/164) | 85.4 | 6 — seam not poisonous |
| RINIQ-M2-SMAPE-6500 | 6.8 GB | 7.5730 | 48.48% | 89.63% (147/164) | 83.5 | 5 — wrong utility, scar |
| RINIQ-M2-MERNIK-6500 | 6.8 GB | 7.5263 | 48.48% | 91.46% (150/164) | 85.4 | 8 — ties 5100: ceiling |
| RINIQ-M5-MERNIK-5100 | 5.0 GB | 7.6587 | 52.02% | 91.46% (150/164) | 84.8 | 7 — kitchen sink |
| RINIQ-M6-MERNIK-5100 | 5.6 GB | 8.5137 | 46.97% | 83.54% (137/164) | 79.9 (−3.6) | 23 — BASE RULES |
| RINIQ-M7-MERNIK-5100 | 5.0 GB | 7.6033 | 49.49% | 88.41% (145/164) | 86.0 (−2.4) | 11 — first auto-fused |
| RINIQ-M2-MERNIK-5100-MIX | 5.0 GB | 7.6001 | 48.99% | 89.63% (147/164) | 85.4 (−3.6) | 6 — novel geometry |
| RINIQ-M2-RMSE-Q38-6500 | 6.8 GB | 7.5411 | 50.00% | 88.41% (145/164) | 82.9 (−4.9) | 6 — takes GPQA, loses HE by 3pp |
| Ox-MSE-6500 (parent) | 6.8 GB | 7.5125 | 49.5% | 90.24% (148/164) | — | 4–5 |
| Ox-SMAPE-5100 | 5.0 GB | 7.5670 | 49.0% | 88.41% (145/164) | — | 4–5 |
Recipes: M1 = Ox + Orn blks 15,19,23,27 (weight compass) + Neo blk 31. M2 = Ox + Orn blks 24,25,26 (imatrix compass) + Neo blk 31. M3 = M1 + blks 0–8 weight-averaged Ox+Neo (soup backbone) — soup buried (−4.9pp vs M2, honest scar in FUSION.md).
M4a/b/c (finale slate, verdicts in): M4a = M2 + blk 16←Orn; M4b = M2 with blk 25→Ox (one-block A/B on Orn-25); M4c = M2 + blk 30←Orn (seam with Neo-31).
Corporate 4-way omnimerge_v2 over the same Qwen3.5-9B ancestor (DeltaCoder 0.55 / Qwopus 0.30 / Ornith 0.15). Their numbers are quoted from their README — greedy temp 0.0, mixed banks (their own † admits base cells come from an earlier bank), NOT our protocol. Same-harness duel (LiveCodeBench v6 55 hard, custom_evaluator on our generations) is queued and will replace this table.
| Build | HE | HE+ | LCB v6 55 hard |
|---|---|---|---|
| RINIQ-M2-MERNIK-5100-Q38 (ours) | 92.07 | 87.8 | ⏳ duel queued |
| JackOD-9B-Coder (Q6_K, theirs) | 88.41 | 82.32 | 78.18 |
We lead on their reported HE/HE+; they lead where we haven't measured yet. No conclusions until one harness scores both.
Series CLOSED: crown Q38 (92.07), no 93%. Files land as decided. Quants land here as verdicts complete.
Naming: RINIQ-M<i>-MERNIK-<size>[-Q38].gguf.
No file is uploaded before its HE verdict unless marked UNVERIFIED.