Disclaimer

Important information about SmolLM3 usage and limitations

Important Notice

This disclaimer outlines important limitations and considerations when using SmolLM3. Please read this information carefully before using our language model.

By using SmolLM3, you acknowledge that you have read, understood, and agree to the limitations and disclaimers outlined below.

1. Nature of AI Language Models

SmolLM3 is an artificial intelligence language model that generates text based on patterns learned from training data. Important considerations include:

  • The model generates responses based on statistical patterns, not true understanding
  • Outputs may contain inaccuracies, biases, or misleading information
  • The model may produce plausible-sounding but factually incorrect responses
  • Responses should not be considered as professional advice or authoritative information
  • The model's knowledge has limitations and may be outdated

2. Accuracy and Reliability

No Warranty of Accuracy

We make no representations or warranties regarding the accuracy, completeness, or reliability of information generated by SmolLM3:

  • Information may be incorrect, incomplete, or misleading
  • Medical, legal, financial, or other professional advice should not be sought from the model
  • Always verify important information through authoritative sources
  • The model may hallucinate facts, citations, or references
  • Responses may contradict themselves or previous responses

3. Bias and Fairness

Like all language models trained on internet data, SmolLM3 may exhibit various forms of bias:

  • Cultural, demographic, or social biases present in training data
  • Stereotypical or prejudiced responses about groups or individuals
  • Unequal representation of different perspectives or viewpoints
  • Potential reinforcement of harmful or discriminatory attitudes

Users should be aware of these limitations and implement appropriate safeguards in their applications.

4. Use Cases and Limitations

Not Suitable For

SmolLM3 should not be used for:

  • Critical safety systems or life-threatening applications
  • Medical diagnosis or treatment recommendations
  • Legal advice or legal document preparation
  • Financial investment decisions or advice
  • Emergency services or crisis intervention
  • Child supervision or safety monitoring
  • Authentication or identity verification

Appropriate Use Cases

SmolLM3 is well-suited for:

  • Creative writing and content generation
  • Educational assistance and learning support
  • Brainstorming and idea generation
  • Text summarization and analysis
  • Language translation assistance
  • Coding assistance and documentation
  • Research and information gathering (with verification)

5. Security and Privacy

When using SmolLM3, please be aware of the following security considerations:

  • Do not input sensitive personal information, passwords, or confidential data
  • Assume that inputs may be visible to others in certain deployment scenarios
  • The model cannot guarantee confidentiality or security of information
  • Outputs may inadvertently reveal patterns from training data
  • Consider data protection regulations in your jurisdiction

Implement appropriate security measures when deploying SmolLM3 in production environments.

6. Performance and Availability

Regarding the performance and availability of SmolLM3:

  • Response times may vary based on system load and query complexity
  • Service availability is not guaranteed and may experience interruptions
  • Performance may degrade under high usage conditions
  • Updates to the model may change response characteristics
  • We reserve the right to modify or discontinue the service

For critical applications, implement appropriate fallback mechanisms and error handling.

7. Liability Limitations

To the maximum extent permitted by law:

  • We disclaim all warranties, express or implied, regarding SmolLM3
  • We are not liable for any damages arising from the use of SmolLM3
  • Users assume full responsibility for the consequences of using SmolLM3
  • We are not responsible for decisions made based on model outputs
  • Our liability is limited to the maximum extent permitted by applicable law

This limitation applies to direct, indirect, incidental, consequential, and punitive damages.

8. User Responsibilities

As a user of SmolLM3, you are responsible for:

  • Verifying the accuracy of information before acting on it
  • Implementing appropriate safeguards and human oversight
  • Complying with applicable laws and regulations
  • Respecting intellectual property rights
  • Using the model ethically and responsibly
  • Monitoring and controlling the model's outputs in your applications

You are solely responsible for the consequences of how you use SmolLM3 in your applications or workflows.

9. Regulatory Compliance

Users are responsible for ensuring their use of SmolLM3 complies with:

  • Local, national, and international laws and regulations
  • Industry-specific compliance requirements
  • Data protection and privacy regulations (GDPR, CCPA, etc.)
  • AI ethics guidelines and best practices
  • Content moderation and safety requirements

Consult with legal and compliance experts to ensure appropriate use in regulated industries.

10. Questions and Support

If you have questions about these disclaimers or need guidance on appropriate use cases, please contact us:

  • Email: support@smollm3.com
  • General inquiries: hello@smollm3.com