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8e7cf1a + the _save_checkpoint empty_cache+barrier fix.configs/llm/qwen3_5_27b_nvfp4_qad_w4a4.yaml (W4A4 fake-quant
training), lr 1.0e-5 cosine (1% warmup), 2640 steps (~1 epoch),
global batch 32 (bs 4/GPU x 8 GPUs x accum 1), seq len 8192, seed 42,
BF16, FSDP2, save/250, eval/100.0406bb3a7a482352360716a1bc5e9e04; disjoint eval split).Qwen3.5-27B-NVFP4-QAD-W4A16-LR1e-5-s2640 for the better NVFP4
checkpoint).1python scripts/export_nvfp4_vllm.py \
2 --source /scratch/wxu/mxfp4/outputs/27b-nvfp4-w4a4-lr1.0e-5-2640 \
3 --model-assets /scratch/wxu/mxfp4/models/Qwen3.5-27B \
4 --output /scratch/wxu/mxfp4/exports/27b-nvw4a4-s2640-a4schema \
5 --device cuda:0