Instructions to use litert-community/TinyLlama-1.1B-Chat-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/TinyLlama-1.1B-Chat-v1.0 with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=litert-community/TinyLlama-1.1B-Chat-v1.0 \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Trained TinyLlama-1.1B-Chat-v1.0_seq128_q8_ekv1280.tflite
#1
by RatonVaquer0 - opened
Hello, does anyone have trained this model of Tiny Llama? I am having problems running the notebook of google colab and I'm curious to know if someone achieved it, and if he/she could help me.