Allam-7B: Optimized for Mobile Deployment

Llama2 based large language model supporting English and Arabic

Allam 7B is SDAIA's first generation edge model, optimized for performance on Snapdragon X Elite.

More details on model performance across various devices, can be found here.

Model Details

  • Model Type: Text generation
  • Model Stats:
    • Input sequence length for Prompt Processor: 128
    • Max context length: 1024
    • Num of key-value heads: 32
    • Number of parameters: 7B
    • Precision: w4a16 + w8a16 (few layers)
    • Use: Initiate conversation with prompt-processor and then token generator for subsequent iterations.
    • Minimum QNN SDK version required: 2.28.2
    • Supported languages: English, Arabic.
    • 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 (4096 tokens).
    • Response Rate: Rate of response generation after the first response token.
Model Device Chipset Target Runtime Response Rate (tokens per second) Time To First Token (range, seconds)
ALLaM-7B-Quantized Snapdragon X Elite CRD Snapdragon® X Elite QNN 21.05 0.092289 - 2.9532736

Deploy Allam 7B on Snapdragon X Elite NPU

Please follow the LLM on-device deployment tutorial.

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
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