Instructions to use litert-community/Kimi-Linear-48B-A3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/Kimi-Linear-48B-A3B-Instruct 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=litert-community/Kimi-Linear-48B-A3B-Instruct \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Commit History
Today
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DETAILS: the conversion scripts and the rebuild of both files from them on 2026-11-15 (every byte after the 16,384-byte header is the published one); LiteRT-LM 0.19.2 is still the latest PyPI release
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Yesterday
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Add the int8 file kimi_linear_48b_a3b_int8_ekv4096.litertlm (CPU and WebGPU) and update the model card
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2 days ago
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Card and manifest: LiteRT-LM 0.19.2, the latest release on PyPI, does not run this file either
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3 days ago
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Add Kimi-Linear-48B-A3B-Instruct for LiteRT-LM (CPU file) and the model card
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