NVIDIA Megatron-Bridge 0.3.1

Changelog Details

Performance & Model Configs

• CP SFT performance improvements (#2527)
• Nemotron 3 Nano perf config updates (#2560, #2681)
• Onboard LLaMA3 70B LoRA to B300 and B200 chips (#2588)
• Update Qwen3 235B B300 configs to match B200 configs (#2706, #2720)
• Update DeepSeek-V3 B300 config (#2723)
• DeepSeek-V3: set no_non_det_algo for deterministic training (#2673)
• Add MoE Sequential MLP mappings in HF Bridges (#2589)

Bug Fixes

• [training] Cap lr_warmup_steps to be strictly less than lr_decay_steps (#2858)
• [training] Fix DistillationProvider.to_cfg_dict to save missing keys in run_config (#2594)
• [training] Fix StopIteration error in MBridge (#2762)
• [checkpoint] Fix local checkpoint integration (#2709)
• [checkpoint] Log warning when HuggingFace Hub download fails silently (#2493)
• [checkpoint] Low-memory save: use AutoBridge directly in distill_llama32_3b-1b to load HF weights (#2860)
• [inference] Use config.hidden_size directly for Qwen3VL inference wrapper (#2855)
• [misc] Improve compare.py robustness for multi-GPU and vocab-padded models (#2647)
• [misc] Fix BOS token mismatch in compare_text_generation (#2889)
• [misc] Guard eod_id access in compare_text_generation for HF tokenizers (#2853)
• [misc] Guard missing kubernetes deps (#2871)
• [example] Fix example scripts and recipe names in release branch (#2862, #2863)

Documentation

• Add ModelOpt pruning docs (#2629)