metadata
library_name: pytorch
license: llama2
pipeline_tag: text-generation
tags:
- llm
- generative_ai
- quantized
- android
Llama-v2-7B-Chat: Optimized for Mobile Deployment
State-of-the-art large language model useful on a variety of language understanding and generation tasks
Llama 2 is a family of LLMs. The "Chat" at the end indicates that the model is optimized for chatbot-like dialogue. The model is quantized to 4-bit weights and 16-bit activations making it suitable for on-device deployment. For Prompt and output length specified below, the time to first token is Llama-PromptProcessor-Quantized's latency and average time per addition token is Llama-TokenGenerator-KVCache-Quantized's latency.
This is based on the implementation of Llama-v2-7B-Chat 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: 7B
- Model size: 3.6GB
- Model-1 (Prompt Processor): Llama-PromptProcessor-Quantized
- Max context length: 1024
- Prompt processor input: 1024 tokens
- Prompt processor output: 1 output token + KVCache for token generator
- Model-2 (Token Generator): Llama-TokenGenerator-KVCache-Quantized
- Token generator input: 1 input token + past KVCache
- Token generator output: 1 output token + KVCache for next iteration
- Decoding length: 1024 (1 output token + 1023 from KVCache)
- Use: Initiate conversation with prompt-processor and then token generator for subsequent iterations.
- QNN-SDK: 2.19
Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model |
---|---|---|---|---|---|---|---|
Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 117.812 ms | 66 - 238 MB | UINT16 | NPU | Llama-TokenGenerator-KVCache-Quantized |
Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2578.521 ms | 12 - 17 MB | UINT16 | NPU | Llama-PromptProcessor-Quantized |
License
- The license for the original implementation of Llama-v2-7B-Chat can be found here.
References
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