Instructions to use mlboydaisuke/DeepSeek-R1-Distill-Qwen-1.5B-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use mlboydaisuke/DeepSeek-R1-Distill-Qwen-1.5B-LiteRT 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 litert-lm run \ --from-huggingface-repo=mlboydaisuke/DeepSeek-R1-Distill-Qwen-1.5B-LiteRT \ --prompt="Write me a poem"
- LiteRT
How to use mlboydaisuke/DeepSeek-R1-Distill-Qwen-1.5B-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Declare the thought channel so the reasoning is separable and the thinking budget applies (metadata only; weights byte-identical)
98d2568 verified - Xet hash:
- c402d7ac4199deef77e6109c9229668bce8ec17c9412295ab357768cb05e1b8e
- Size of remote file:
- 1.11 GB
- SHA256:
- 3cb62733084ee5f89cf0c5f2834644a6608c9e16371983d89b69a292254cbb4f
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