Ollama Model Tuner OpenClaw Plugin & Skill | ClawHub
Looking to integrate Ollama Model Tuner into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate devops & cloud tasks instantly, without having to write custom tools from scratch.
What this skill does
Optimize Ollama models/prompts using local datasets, eval metrics, and iterative tuning.
Install
ClawHub CLI
openclaw skills install @gblockchainnetwork/ollama-model-tunerNode.js (npx)
npx clawhub@latest install ollama-model-tunerFull SKILL.md
Open originalSKILL.md content below is scrollable.
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.
ClawHub Registry URL: https://clawhub.ai/gblockchainnetwork/skills/ollama-model-tuner