simpo Skill
Reference-free preference alignment, simpler than DPO. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
30 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is simpo Skill?
Reference-free preference alignment, simpler than DPO. Published by NousResearch in hermes-agent. 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. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: optional-skills/mlops/simpo/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use simpo Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mlops/simpo/SKILL.md
What it does
Reference-free preference alignment, simpler than DPO.
Skill instructions
SimPO - Simple Preference Optimization Quick start SimPO is a reference-free preference optimization method that outperforms DPO without needing a reference model. Installation: bash Create environment conda create -n simpo python=3.10 && conda activate simpo Install PyTorch 2.2.2 Visit: https://pytorch.org/get-started/locally/ Install alignment-handbook git clone https://github.com/huggingface/alignment-handbook.git cd alignment-handbook python -m pip install . Install Flash Attention 2 python -m pip install flash-attn --no-build-isolation Training (Mistral 7B): bash ACCELERATELOGLEVEL=info accelerate launch \ --configfile accelerateconfigs/deepspeedzero3.yaml \ scripts/runsimpo.py \ trainingconfigs/mistral-7b-base-simpo.yaml Common workflows Workflow 1: Train from base model (Mistral 7B) Config (mistral-7b-base-simpo.yaml): yaml Model modelnameorpath: mistralai/Mistral-7B-v0.1 torchdtype: bfloat16 Dataset datasetmixer: HuggingFaceH4/ultrafeedbackbinarized: 1.0 datasetsplits: - trainp
Verified compatibility and discovery
Frequently asked questions
What is simpo?
simpo is a open-source AI agent skill with Copy skill directory. Reference-free preference alignment, simpler than DPO.
Who is simpo best for?
simpo is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install simpo?
Install or run simpo using Copy skill directory. Check simpo for the latest setup command.
Is simpo actively maintained?
simpo may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.