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Allam-7B

Text Generation
PyTorch
llm
generative_ai
android
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library_name: pytorch
license: other
tags:
  - llm
  - generative_ai
  - android
pipeline_tag: text-generation

Allam-7B: Optimized for Mobile Deployment

Large Language Model supporting arabic and english

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: Model_use_case.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 Precision Device Chipset Target Runtime Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit Target Model

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