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---
license: agpl-3.0
tags:
  - smoltrace
  - smolagents
  - evaluation
  - benchmark
  - llm
  - agents
---

<div align="center">
  <img src="https://raw.githubusercontent.com/Mandark-droid/SMOLTRACE/main/.github/images/Logo.png" alt="SMOLTRACE Logo" width="400"/>

  <h3>Tiny Agents. Total Visibility.</h3>

  <p>
    <a href="https://github.com/Mandark-droid/SMOLTRACE"><img src="https://img.shields.io/badge/GitHub-SMOLTRACE-blue?logo=github" alt="GitHub"></a>
    <a href="https://pypi.org/project/smoltrace/"><img src="https://img.shields.io/pypi/v/smoltrace?color=green" alt="PyPI"></a>
    <a href="https://github.com/Mandark-droid/SMOLTRACE#readme"><img src="https://img.shields.io/badge/docs-readme-orange" alt="Documentation"></a>
  </p>
</div>

---


# SMOLTRACE GPU & Environmental Metrics

This dataset contains time-series GPU metrics and environmental impact data from a SMOLTRACE benchmark run.

## Dataset Information

| Field | Value |
|-------|-------|
| **Model** | `allenai/Olmo-3-7B-Instruct` |
| **Run ID** | `87b74ff3-30b1-4410-aa10-6a785496849a` |
| **Total Samples** | 84 |
| **Generated** | 2025-11-26 10:47:42 UTC |
| **GPU Metrics** | Available |

## Schema

| Column | Type | Description |
|--------|------|-------------|
| `run_id` | string | Unique run identifier |
| `timestamp` | string | ISO timestamp of measurement |
| `timestamp_unix_nano` | string | Unix nanosecond timestamp |
| `service_name` | string | Service identifier |
| `gpu_id` | string | GPU device ID |
| `gpu_name` | string | GPU model name |
| `gpu_utilization_percent` | float | GPU compute utilization (0-100%) |
| `gpu_memory_used_mib` | float | GPU memory used (MiB) |
| `gpu_memory_total_mib` | float | Total GPU memory (MiB) |
| `gpu_temperature_celsius` | float | GPU temperature (°C) |
| `gpu_power_watts` | float | GPU power consumption (W) |
| `co2_emissions_gco2e` | float | Cumulative CO2 emissions (gCO2e) |
| `power_cost_usd` | float | Cumulative power cost (USD) |

## Environmental Impact

SMOLTRACE tracks environmental metrics to help you understand the carbon footprint of your AI workloads:

- **CO2 Emissions**: Calculated based on GPU power consumption and regional carbon intensity
- **Power Cost**: Estimated electricity cost based on configurable rates

## Usage

```python
from datasets import load_dataset
import pandas as pd

# Load metrics
ds = load_dataset("YOUR_USERNAME/smoltrace-metrics-TIMESTAMP")

# Convert to DataFrame for analysis
df = pd.DataFrame(ds['train'])

# Plot GPU utilization over time
import matplotlib.pyplot as plt
plt.plot(df['timestamp'], df['gpu_utilization_percent'])
plt.xlabel('Time')
plt.ylabel('GPU Utilization (%)')
plt.title('GPU Utilization During Evaluation')
plt.show()

# Get total environmental impact
total_co2 = df['co2_emissions_gco2e'].max()
total_cost = df['power_cost_usd'].max()
print(f"Total CO2: {total_co2:.4f} gCO2e")
print(f"Total Cost: ${total_cost:.6f}")
```

## Related Datasets

This evaluation run also generated:
- **Results Dataset**: Pass/fail outcomes for each test case
- **Traces Dataset**: Detailed OpenTelemetry execution traces
- **Leaderboard**: Aggregated metrics for model comparison

---

## About SMOLTRACE

**SMOLTRACE** is a comprehensive benchmarking and evaluation framework for [Smolagents](https://huggingface.co/docs/smolagents) - HuggingFace's lightweight agent library.

### Key Features
- Automated agent evaluation with customizable test cases
- OpenTelemetry-based tracing for detailed execution insights
- GPU metrics collection (utilization, memory, temperature, power)
- CO2 emissions and power cost tracking
- Leaderboard aggregation and comparison

### Quick Links
- [GitHub Repository](https://github.com/Mandark-droid/SMOLTRACE)
- [PyPI Package](https://pypi.org/project/smoltrace/)
- [Documentation](https://github.com/Mandark-droid/SMOLTRACE#readme)
- [Report Issues](https://github.com/Mandark-droid/SMOLTRACE/issues)

### Installation

```bash
pip install smoltrace
```

### Citation

If you use SMOLTRACE in your research, please cite:

```bibtex
@software{smoltrace,
  title = {SMOLTRACE: Benchmarking Framework for Smolagents},
  author = {Thakkar, Kshitij},
  url = {https://github.com/Mandark-droid/SMOLTRACE},
  year = {2025}
}
```

---

<div align="center">
  <sub>Generated by <a href="https://github.com/Mandark-droid/SMOLTRACE">SMOLTRACE</a></sub>
</div>