Two extensions to the strict-mode matrix:
1. Compiler full-model-sweep. The previous step parametrized
`unsloth_compile_transformers` over [llama, qwen3, gemma3] only.
Replace with `pkgutil.iter_modules(transformers.models.*)` walk so
every model_type the matrix's transformers ships gets exercised
(~383 packages on transformers 4.57.6, similar on latest). Local
verification: 362 / 383 compile cleanly in 108s wall (~0.31s/model
mean). 21 model_types currently break the rewriter; they are
listed in KNOWN_BROKEN_COMPILE in the shim, split by failure
category for follow-up unsloth-zoo PRs:
A. `string index out of range` (6): colpali, colqwen2, dpr,
rag, shieldgemma2, timm_backbone.
B. emit invalid Python (8): clvp, electra, falcon_mamba, gpt2,
imagegpt, mamba, tapas, xlstm.
C. emit unclosed paren (2): kosmos2, kosmos2_5.
D. attribute error on imports (4): auto, bit, regnet, resnet.
E. undefined name in emitted file (1): perceiver.
New failures on any OTHER model_type fail the cell. Floor of >=200
ok models guards against transformers-induced wholesale regression.
2. Dynamic TRL trainer + experimental coverage. The previous discovery
sweep only counted *Trainer / *Config discovery; it did not verify
unsloth ACTUALLY patches what it discovers. Two new pytest cases
in the same shim:
- `test_unsloth_patches_every_canonical_trainer_in_this_trl_version`:
enumerate canonical trainers via filesystem walk, run
patch_trl_rl_trainers(), assert each is Unsloth-prefixed.
Floor matches cohort sizes (18 / 15 / 6 trainers across
0.22-0.23 / 0.24-0.28 / 0.29-1.x).
- `test_unsloth_patches_experimental_trainers_via_thin_wrappers`:
walk `trl/experimental/*` AST for *Trainer classes, verify
unsloth's MRO-walk fallback (rl.py:677-702) reaches them.
TRL 0.29+ moved 9 trainers (bco/cpo/gkd/nash_md/online_dpo/
orpo/ppo/prm/xpo) to trl.experimental; we want the matrix to
confirm patching reaches that surface, not just the canonical
6.
Wall-time per cell: compile sweep ~2-3 min warm; trainer sweep ~30-60s.
Total cell budget remains under 35 min including the existing llama.cpp
build.
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