Optimize Ollama models/prompts using local datasets, eval metrics,
Scanned 9/7/2026
Install to Claude Code
Skills Directorynpx -y skills add modbender/skill-library-mcp --skill ollama-model-tuner --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Ollama Model Tuner?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/modbender-ollama-model-tuner)More formats (shields.io, HTML) on the badges page.
---
name: ollama-model-tuner
description: Optimize Ollama models/prompts using local datasets, eval metrics,
and iterative tuning. No cloud needed.
---
# Ollama Model Tuner v1.0.0
## 🎯 Purpose
- Prompt engineering & A/B testing
- Modelfile customization
- LoRA fine-tuning with local data
- Performance benchmarking
## 🚀 Quick Start
```
!ollama-model-tuner --model llama3 --dataset ./data.json --task classification
```
## Files
- `scripts/tune.py`: Python tuner with eval loop
- `prompts/system.md`: Base system prompts
## Supported
Ollama 0.3+, Python 3.10+, datasets in JSONL/CSV.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
