Fine-Tune HF Model
curated by SkillMD · plugin · 5 skills
Select, train, and upload a fine-tuned transformer model using Hugging Face tools.
Install the whole plugin (CLI)
npx skillmds add huggingface/huggingface-best
npx skillmds add huggingface/trl-training
npx skillmds add huggingface/hf-cli
npx skillmds add google-gemma/gemma-trainer
npx skillmds add lord1egypt/peft-fine-tuningSkills in this plugin
- ▌ huggingface-best · huggingfaceQueries Hugging Face benchmark leaderboards to find the best AI models for a task, filters by device constraints, and returns a ranked comparison table with scores.
- ▌ trl-training · huggingfaceTrain and fine-tune transformer language models using TRL (Transformers Reinforcement Learning) with support for SFT, DPO, GRPO, KTO, RLOO, and reward model training via CLI commands.
- ▌ hf-cli · huggingfaceManage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.
- ▌ gemma-trainer · google-gemma bundleFine-tune Gemma models locally using QLoRA, Unsloth, or TRL for SFT, DPO, and reward modeling, with dataset preparation and conversion to GGUF or LiteRT-LM.
- ▌ peft-fine-tuning · lord1egyptFine-tune large language models by training less than 1% of parameters using LoRA, QLoRA, and 25+ adapter methods, enabling efficient adaptation on limited GPU memory.