🧪 Skills
Ollama Model Tuner
Locally fine-tune Ollama models, prompts, and LoRAs using custom datasets and evaluation metrics without requiring cloud resources.
v1.0.0
Description
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
🎯 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 loopprompts/system.md: Base system prompts
Supported
Ollama 0.3+, Python 3.10+, datasets in JSONL/CSV.
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