#81 Quant Menu for vision/audio modality
- config/schema: drop the `modality != "text"` rejection in
_validate_quant_menu_supported_tasks (mlx-backend gate retained) so the full
Quant Menu (gptq/awq/hqq:Nbit/aqlm/eetq/mxfp4/fp8) applies to vision+audio.
- trainer/sft: _setup_vision_transformers + _setup_audio_transformers call
build_quantization_config_for_loader (strict superset of the inline 4bit/8bit
BNB blocks they replaced); drop BitsAndBytesConfig import; retain the
prepare_model_for_kbit_training gate on (4bit,8bit,mxfp4).
#80 multipack DataLoader sharding under FSDP/DeepSpeed/DDP
- utils/multipack_trainer: get_train_dataloader routes the multipack DataLoader
through accelerator.prepare when num_processes > 1 so accelerate's
BatchSamplerShard shards whole FFD bins across ranks (even_batches=True avoids
the epoch-boundary collective hang; seed identical across ranks, no `+ rank`).
Single-process path unchanged. Defence-in-depth guard against an unconfigured
MagicMock num_processes.
Tests: +37 in tests/test_v07119.py (13770 -> 13807). ruff clean.
Supersedes the v0.40.5 vision/audio Quant-Menu and v0.40.4 multipack-FSDP
known-limitations. Full multi-GPU validation remains an INFRA-BLOCKED QA item.
Alpamys