- AWQ export (`soup export --format awq`) via autoawq, with --bits, --group-size, --calibration-data
- GPTQ export (`soup export --format gptq`) via auto-gptq, with calibration data support
- Sample packing (`packing: true`) for SFT/Pretrain trainers via TRL's native packing
- `soup data split` — train/val/test splitting with random and stratified strategies
- Curriculum learning (`curriculum: true`) — sort dataset by difficulty for staged training
- New utility: soup_cli/utils/curriculum.py (sort_by_length, create_buckets)
- Security: calibration data path traversal protection, bits validation (4/8 only)
- 1970 tests across 70 test files
Alpamys