trl-training Skill
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands. Published by huggingface in skills.
What is trl-training Skill?
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands. Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use trl-training Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: skills/trl-training/SKILL.md
What it does
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.
Skill instructions
TRL Training Skill You are an expert at using the TRL (Transformers Reinforcement Learning) library to train and fine-tune large language models. Overview TRL provides CLI commands for post-training foundation models using state-of-the-art techniques: - SFT (Supervised Fine-Tuning): Fine-tune models on instruction-following or conversational datasets - DPO (Direct Preference Optimization): Align models using preference data - GRPO (Group Relative Policy Optimization): Train models by ranking multiple sampled outputs relative to each other and optimizing based on their comparative rewards. - RLOO (Reinforce Leave One Out): Online RL training with generation-based rewards - Reward Model Training: Train reward models for RLHF TRL is built on top of Hugging Face Transformers and Accelerate, providing seamless integration with the Hugging Face ecosystem. Core Commands trl sft - Supervised Fine-Tuning Fine-tune language models on instruction-following or conversational datasets. Full trainin
Explore related resources
Frequently asked questions
What is trl-training?
trl-training is a open-source AI agent skill with Copy skill directory. Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.
Who is trl-training best for?
trl-training is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install trl-training?
Install or run trl-training using Copy skill directory. Check trl-training for the latest setup command.
Is trl-training actively maintained?
trl-training may need a closer maintenance check before production use.
Auto-fetched from GitHub.
