evo-simpo-code-reproduction
From the author
Implements the SimPO (Simple Preference Optimization) loss function and handles environment setup, execution, and result saving for code reproduction tasks.
Install
npx skills add OpenLAIR/OpenSkill --skill evo-simpo-code-reproduction -a claude-code
Installs to .claude/skills/evo-simpo-code-reproduction/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 75
Security85
Provenance64
Maintenance85
Licence100
Adoption34
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- simpo-losscxcscmu/SkillLearnBenchGuide on understanding and implementing the SimPO (Simple Preference Optimization) loss function for language models.Other★ 91
- run2_simpo-losscxcscmu/SkillLearnBenchComplete implementation of the SimPO (NeurIPS 2024) loss function with all variants and edge cases - use when reproducing SimPO or implementing reference-free preference optimization.Other★ 91
- preference-optimizationwshobson/agentsAlign a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.Engineering★ 41.7K
- simpo-loss-functioncxcscmu/SkillLearnBenchImplement SimPO loss with length-normalized rewards and target margin.Other★ 91
- simpyK-Dense-AI/scientific-agent-skillsBuilds, inspects, tests, and analyzes bounded process-based discrete-event simulations with SimPy. Use for event scheduling, resource queues, interrupts, monitoring, independent replications, warm-up, and reproducible output analysis.Testing★ 54.5K
- simpo-trainingKalarisLabs/research-agent-skillsSimple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.Other★ 61
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in