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Seven optional mlops training skills had stale APIs, config paths, image locations, and requirement pins. Verified against upstream and corrected: - torchtitan: removed TOML train_configs paths (replaced upstream by config registry) - trl-fine-tuning: PPO removed from TRL 1.x -> GRPO/RLOO; SFTTrainer tokenizer= -> processing_class - flash-attention: torch.backends.cuda.sdp_kernel (deprecated) -> torch.nn.attention.sdpa_kernel; corrected false FA3/FP8-in-pip claim (FA2 only) - accelerate: DeepSpeedPlugin instance not raw dict; --config_file expects accelerate YAML; auto_wrap_policy -> transformer_based_wrap - saelens: v6 nested training config (sae=/logger=); from_pretrained tuple -> from_pretrained_with_cfg_and_sparsity - tensorrt-llm: Docker Hub image 404 -> NGC nvcr.io; rc pin -> GA; CUDA req updated - nemo-curator: pip extras renamed; repo moved to NVIDIA-NeMo/Curator; 1.x pipeline rewrite noted |
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| references | ||
| SKILL.md | ||