Locally fine-tune Ollama models, prompts, and LoRAs using custom datasets and evaluation metrics without requiring cloud resources.
--- 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 loop - `prompts/system.md`: Base system prompts ## Supported Ollama 0.3+, Python 3.10+, datasets in JSONL/CSV.
don't have the plugin yet? install it then click "run inline in claude" again.