# ollama-model-tuner

> ollama-model-tuner — gblockchainnetwork-ollama-model-tuner. Use this tool when you need to optimize Ollama models and prompts for better performance, solving problems of subpar model accuracy and inefficient tuning processes. It takes in local datasets and evaluation metrics as inputs and outputs optimized models and prompts through iterative tuning. Ideal for use cases where customized model performance is crucial, such as specialized language tasks or domain-specific applications.

Canonical page: https://skillsregistry.net/skills/gblockchainnetwork-ollama-model-tuner  
JSON: https://api.skillsregistry.net/v1/skills/gblockchainnetwork-ollama-model-tuner

## Description

Optimize Ollama models/prompts using local datasets, eval metrics, and iterative tuning.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/gblockchainnetwork-ollama-model-tuner)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gblockchainnetwork-ollama-model-tuner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gblockchainnetwork-ollama-model-tuner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gblockchainnetwork-ollama-model-tuner/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt