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Ollama Model Tuner
ASecurityOptimize Ollama models/prompts using local datasets, eval metrics, and iterative tuning. No cloud needed.
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- Added November 11, 2026
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[](https://www.skillsdirectory.com/skills/johnalbertini14-glitch-ollama-model-tuner)---
summary: "Ollama Model Tuner: Locally fine-tune prompts, LoRAs, and models with Ollama for custom tasks."
description: "Optimize Ollama models/prompts using local datasets, eval metrics, and iterative tuning. No cloud needed."
triggers:
- "tune ollama"
- "optimize ollama model"
- "fine-tune local LLM"
- "ollama prompt engineer"
read_when:
- "ollama tune" in message
- "model fine-tune" in message
---
# Ollama Model Tuner v1.0.0
## π― Purpose
- Prompt engineering & A/B testing
- Modelfile customization
- LoRA fine-tuning with local data
- Performance benchmarking
## π 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.
Files in this skill
- SKILL.md
- _meta.json
- scripts/tune.py
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