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SkillsMP a collecté 8 skills depuis OpenRaiser/NanoResearch. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 8 skills collectés sur 8.
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace,…
Langue du texte source : anglais
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's…
Langue du texte source : anglais
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Langue du texte source : anglais
Search academic literature and generate research hypotheses
Langue du texte source : anglais
Produce an experiment blueprint from a research hypothesis
Langue du texte source : anglais
Draft a LaTeX research paper from all previous stage outputs
Langue du texte source : anglais
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX…
Langue du texte source : anglais
Generate a Python code skeleton from an experiment blueprint
Langue du texte source : anglais