IndusQ-1.1B: Optimized for Qualcomm Devices

Getting Started

Getting Started

Model Details

• Input sequence length for Prompt Processor: 128
• Max context length: 1024
• Minimum QNN SDK version required: 2.27.7
• Number of parameters: 1B
• Precision: w4a16 + w8a16 (few layers)
• Response Rate: Rate of response generation after the first response token.
• Supported languages: Hindi and English.
• TTFT: Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length (1024 tokens).
• Use: Initiate conversation with prompt-processor and then token generator for subsequent iterations.

Performance Summary

References

• Project Indus: A Foundational Model for Indian Languages
• Source Model Implementation

Community

• Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
• For questions or feedback please reach out to us.

Usage and Limitations

• Accessing essential private and public services and benefits;
• Administration of justice and democratic processes;
• Assessing or recognizing the emotional state of a person;
• Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
• Education and vocational training;
• Employment and workers management;
• Exploitation of the vulnerabilities of persons resulting in harmful behavior;
• General purpose social scoring;
• Law enforcement;
• Management and operation of critical infrastructure;
• Migration, asylum and border control management;
• Predictive policing;
• Real-time remote biometric identification in public spaces;
• Recommender systems of social media platforms;
• Scraping of facial images (from the internet or otherwise); and/or
• Subliminal manipulation