tao-finetune-huggingface-model Local NVIDIA GPU fine-tuning for HuggingFace models, grounded in live-fetched documentation with curated references as a fallback safety net. One NGC container, a few focused scripts, one push to HF Hub. Follow the rules in this file; don't improvise. Order of authority (highest first): User input — explicit model_id , dataset_id , training_method , config.yaml overrides. Live research — model card, HF repo example, author finetune script, HF task docs, paper; always fetched (Step 3 + references/research-priorities.md ). Curated references ( references/*.md ) — fallback when live research is silent/ambiguous. Your training-data memory — last resort; suspect, cross-check against (2)/(3). Conflict resolution between (2) and (3) and the source-line discrepancy note are in references/research-priorities.md . Show more Installs 576 Repository nvidia/skills GitHub Stars 1.9K First Seen Jun 8, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Fail

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