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OpenClaw

Ollama Model Tuner

Ollama Model Tuner v1.0.0

gblockchainnetwork0 source installs☆ 0 Repository stars
View source ↗InstallationSKILL.md ↗

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install gblockchainnetwork/ollama-model-tuner

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/gblockchainnetwork/ollama-model-tuner
Version
—
Commit
4d0441ed9d4ee0e92590482335de83d9b44db0f3
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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.

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