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Markdown

# ollama (Ollama Examples)
This directory contains examples demonstrating different capabilities of Ollama with promptfoo.
You can run this example with:
```bash
npx promptfoo@latest init --example ollama
cd ollama
```
## Prerequisites
1. Install [Ollama](https://ollama.ai)
2. Pull the required models:
```bash
# For comparison example (default)
ollama pull llama4:scout
ollama pull llama2-uncensored
# For function calling example
ollama pull llama3.2:1b
```
## Available Examples
This directory contains two different Ollama examples:
### 1. Model Comparison (Default)
**Config**: `promptfooconfig.yaml`
Compares different Ollama models (llama4:scout, llama2-uncensored) with OpenAI models using various prompts and assertions.
**Running**:
```bash
npx promptfoo@latest eval
```
Or with a specific config:
```bash
npx promptfoo@latest eval -c promptfooconfig.yaml
```
**What this tests**:
- Compares uncensored vs standard models
- Tests with controversial/edge-case questions
- Validates models don't refuse legitimate queries
- Demonstrates prompt format differences (Llama vs OpenAI)
**Tutorial**: See the accompanying guide at https://promptfoo.dev/docs/guides/censored-vs-uncensored-ollama/
### 2. Function Calling
**Config**: `promptfooconfig.function-calling.yaml`
Demonstrates Ollama's function calling capabilities using a tiny 1B parameter model.
**Running**:
```bash
npx promptfoo@latest eval -c promptfooconfig.function-calling.yaml
```
**What this tests**:
- Function calling with `llama3.2:1b` (tiny, fast model)
- OpenAI-compatible tool format
- Weather API function example with location extraction
- Validates tool calls with `is-valid-openai-tools-call` assertion
**Expected output**:
```text
✔ Evaluation complete
Pass Rate: 100.00%
Successes: 3
```
Each test generates a tool call:
```json
[
{
"function": {
"name": "get_current_weather",
"arguments": "{\"location\":\"Boston\",\"unit\":\"celsius\"}"
}
}
]
```
**Supported models**: Models with function calling support include `llama3.2:1b`, `llama3.2:3b`, `llama3.1`, `llama3.3`, and `qwen2.5`.
## Customization
### For Comparison Example
Edit the prompts and test cases in `promptfooconfig.yaml`. You can modify:
- Models being compared
- Test questions in the `tests` section
- Assertions to validate different behaviors
- Prompt formats in the `prompts/` directory
### For Function Calling Example
Edit `promptfooconfig.function-calling.yaml` to:
- Change the test cities
- Modify the tool definition in `get_current_weather.yaml`
- Add additional functions
- Test with different models
## File Structure
```text
examples/ollama/
├── README.md # This file
├── promptfooconfig.yaml # Model comparison (default)
├── promptfooconfig.function-calling.yaml # Function calling example
├── prompts/
│ ├── llama_prompt.txt # Llama-style prompt format
│ └── openai_prompt.json # OpenAI chat format
├── prompts.txt # Additional prompt examples
└── get_current_weather.yaml # Tool definition for function calling
```
## Viewing Results
After running an evaluation, view the results in the web UI:
```bash
npx promptfoo@latest view
```
This opens an interactive comparison showing:
- Side-by-side model outputs
- Pass/fail status for each assertion
- Token usage and latency metrics