Unified Model Records

Vicuna

Type: family

Tags: opensource Publisher: LMSYS ORG Released: 2023-03-30 v.1.0.0

Model details

Blackbox External Model Access
Capabilities demonstration
Capabilities description -
Centralized model documentation
Evaluation of capabilities
External model access protocol
External reproducibility of capabilities evaluation
External reproducibility of intentional harm evaluation -
External reproducibility of mitigations evaluation -
External reproducibility of trustworthiness evaluation -
External reproducibility of unintentional harm evaluation
Full external model access
Inference compute evaluation -
Inference duration evaluation
Input modality
Intentional harm evaluation -
Limitations demonstration -
Limitations description
Mitigations demonstration
Mitigations description
Mitigations evaluation
Model architecture
Asset license
Model components
Model size
Output modality
Risks demonstration
Risks description
Third party capabilities evaluation -
Third party evaluation of limitations
Third party mitigations evaluation -
Third party risks evaluation -
Trustworthiness evaluation -
Unintentional harm evaluation

Intended use

  • Research and academic purposes
  • Open-source innovation
  • Enhancement of chatbot technology
  • Public demonstration and education
  • Non-commercial use

Dependencies

No dependencies specified.

Metrics

No metrics specified.

Environmental

No environmental refs specified.

Carbon emitted (tCO2eq): 1

Energy usage: 1 w

Compute usage: 0

Ethical considerations

  • Potential for biased responses based on training data
  • Need for continuous monitoring to mitigate toxicity or misinformation
  • Possibility of misuse in generating deceptive or harmful content
  • Importance of transparent usage and limitations disclosure to users
  • Commitment to non-commercial use to respect data and model licensing agreements

Recommendations

  • Best suited for research, academic, and open-source development purposes
  • Use in conjunction with moderation APIs to address potential safety concerns
  • Further fine-tuning with specific datasets for targeted applications encouraged
  • Continuous evaluation and comparison with emerging models for improvements
  • Not intended for direct commercial use without proper evaluation