Wires v0.28.0 speed/memory features into every transformer-backend
trainer (grpo / kto / orpo / simpo / ipo / ppo / reward_model /
embedding) plus closes the v0.33.0 #43 oversight where dpo / pretrain
accepted activation_offloading without installing offload hooks.
Auto-quant --auto-quant now forwards the picked candidate's
quantization to vLLM via an explicit named parameter (kwarg-splat
hazard removed). Kernel auto-compose runs a forward-only benchmark
loop on the trainer's actual model under torch.no_grad() so live
training gradients aren't polluted (this was a critical-class bug
caught by code-review pre-tag and fixed before merge).
Schema gate lifted with distinct MLX-backend vs unknown-task error
messages so users get the right fix. fp8 / int8 QAT guard fixed in
6 trainers (the legacy unguarded `if tcfg.quantization_aware:` would
have crashed the int8 path with the string "fp8").
Net +187 tests (3928 -> 4115). New file
tests/test_trainer_coverage_v035.py provides a parametrised matrix
proof that every trainer x every feature is exercised on every CI
matrix job. All four review-agent waves (python / code / security /
tdd) clean with every CRITICAL -> LOW finding fixed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Alpamys