Disclaimer

Important information about SmolLM3 usage and limitations

General Disclaimer

The information and services provided by SmolLM3 are offered on an "as is" basis. While we strive to provide accurate and helpful information, we make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability, or availability of the SmolLM3 model or related services.

Model Limitations

Output Accuracy

SmolLM3 is an AI language model that generates text based on patterns learned from training data. The model may produce outputs that are:

  • Factually incorrect or misleading
  • Outdated or based on incomplete information
  • Biased or reflecting societal prejudices
  • Inconsistent across different prompts
  • Inappropriate for certain sensitive topics

No Professional Advice

SmolLM3 outputs should not be considered as professional advice in any field, including but not limited to:

  • Medical, health, or safety advice
  • Legal or financial counsel
  • Engineering or technical specifications
  • Personal or relationship guidance
  • Investment or business decisions

User Responsibility

Users of SmolLM3 are fully responsible for:

  • Verifying the accuracy and appropriateness of model outputs
  • Implementing proper safeguards and content filtering
  • Ensuring compliance with applicable laws and regulations
  • Obtaining professional advice when needed
  • Monitoring and testing model performance in their applications
  • Protecting sensitive or personal information

Technical Limitations

Performance Variability

SmolLM3 performance may vary significantly based on:

  • Input prompt structure and content
  • Task complexity and domain specificity
  • Hardware and software configuration
  • Model version and implementation details

Resource Requirements

While SmolLM3 is designed for efficiency, actual resource usage may vary depending on implementation and usage patterns. Users should conduct their own performance testing for their specific use cases.

Content and Safety

Harmful Content

Despite safety measures, SmolLM3 may occasionally generate content that is:

  • Offensive, inappropriate, or harmful
  • Discriminatory or biased
  • Violent or disturbing
  • Misleading or false

Users must implement appropriate content filtering and safety measures for their applications.

Sensitive Information

Do not input sensitive, confidential, or personal information into SmolLM3 unless you understand and accept the associated risks. This includes but is not limited to:

  • Personal identification information
  • Financial or payment information
  • Proprietary business information
  • Health or medical records
  • Legal documents or privileged information

Third-Party Integration

When integrating SmolLM3 with third-party services or platforms, users are responsible for:

  • Understanding the terms and privacy policies of those services
  • Ensuring compatibility and security
  • Managing data flow and access controls
  • Complying with all applicable agreements and regulations

Limitation of Liability

In no event shall the SmolLM3 team, contributors, or affiliated organizations be liable for any direct, indirect, incidental, special, consequential, or exemplary damages arising from:

  • Use or inability to use SmolLM3
  • Reliance on model outputs or recommendations
  • Errors, omissions, or inaccuracies in generated content
  • Interruption of service or data loss
  • Security breaches or unauthorized access

Updates and Changes

This disclaimer may be updated from time to time without notice. SmolLM3 itself may be updated, modified, or discontinued. Users are encouraged to regularly review this disclaimer and stay informed about model updates and changes.

Research and Development

SmolLM3 is provided as a research tool and may be subject to ongoing development and improvement. Features, capabilities, and performance characteristics may change over time. This disclaimer applies to all versions and implementations of SmolLM3.

Contact Information

If you have questions about this disclaimer or need clarification about SmolLM3 limitations, please contact us at:

Email: info@smollm3.org

Subject: Disclaimer Inquiry

Important: Always validate and verify SmolLM3 outputs before using them in any critical applications or decision-making processes.