Instructions to use uralstech/Qwen3-0.6B-updated-template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use uralstech/Qwen3-0.6B-updated-template 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 -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=uralstech/Qwen3-0.6B-updated-template \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Qwen3-0.6B LiteRT-LM with an updated prompt template
This repository contains Qwen3-0.6B_dynamic_wi4b32_afp32.litertlm from litert-community/Qwen3-0.6B
with the new Qwen3 prompt template, from here,
provided by the LiteRT-LM/ODML devs.
The model inherits the same license as litert-community/Qwen3-0.6B.
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