2 Commits

Author	SHA1	Message	Date
teknium1	1c646499b6	fix(skills): sync mlops training/model-infra skills to current APIs ... 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	2026-07-24 08:18:05 -07:00
Teknium	ded194eb6a	chore(skills): move heavy training skills + outlines to optional-skills (#22912) ... These skills require heavy GPU/CUDA stacks or are niche enough that they shouldn't be active by default. Moved to optional-skills/ where users opt-in via `hermes skills install official/...`. Moved: - mlops/training/axolotl - mlops/training/trl-fine-tuning - mlops/training/unsloth - mlops/inference/outlines Counts: 91 -> 87 built-in, 72 -> 76 optional. Auto-regenerated docs (per-skill pages + catalogs) reflect the move.	2026-05-09 18:44:12 -07:00