Mistral-7B-Instruct-v0_3: Optimized for Mobile Deployment

State-of-the-art large language model useful on a variety of language understanding and generation tasks

The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.

This is based on the implementation of Mistral-7B-Instruct-v0_3 found here. More details on model performance accross various devices, can be found here.

Model Details

• Model Type: Text generation
• Model Stats:
  • Number of parameters: 7.3B
  • Precision: w8a16
  • Num of key-value heads: 8
  • Information about the model: ['Prompt Processor and Token Generator are split into 4 parts each.', 'Each corresponding Prompt Processor and Token Generator share weights.']
  • Max context length: 4096
  • Prompt processor model size: 4.17 GB
  • Prompt processor input: 128 tokens + KVCache initialized with pad token
  • Prompt processor output: 128 output tokens + KVCache for token generator
  • Token generator model size: 4.17 GB
  • Token generator input: 1 input token + past KVCache
  • Token generator output: 1 output token + KVCache for next iteration
  • Decoding length: 4096
  • Use: Initiate conversation with prompt-processor and then token generator for subsequent iterations.

Model	Device	Chipset	Target Runtime	Response Rate (tokens per second)	Time To First Token (range, seconds)	Tiny MMLU
Mistral-7B-Instruct-v0_3	Snapdragon 8 Elite QRD	Snapdragon® 8 Elite	QNN	10.73	0.18 - 5.79	58.85%

Deploying Mistral 7B Instruct v3.0 on-device

Please follow this tutorial to compile QNN binaries and generate bundle assets to run ChatApp on Windows and on Android powered by QNN-Genie.

License

• The license for the original implementation of Mistral-7B-Instruct-v0_3 can be found here.
• The license for the compiled assets for on-device deployment can be found here

References

• Mistral 7B
• 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

Model may not be used for or in connection with any of the following applications:

• 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