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Mistral-7B-Instruct-v0_3

Text Generation
PyTorch
llm
generative_ai
quantized
android
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metadata
library_name: pytorch
license: apache-2.0
pipeline_tag: text-generation
tags:
  - llm
  - generative_ai
  - quantized
  - android

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

Community

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