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litert-community
/
Hy-MT2-1.8B

Translation
LiteRT-LM
LiteRT
litertlm
on-device
edge
hunyuan
multilingual
Model card Files Files and versions
xet
Community

Instructions to use litert-community/Hy-MT2-1.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use litert-community/Hy-MT2-1.8B 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/Hy-MT2-1.8B \
      --prompt="Write me a poem"
  • LiteRT

    How to use litert-community/Hy-MT2-1.8B 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
Hy-MT2-1.8B
1.83 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
mlboydaisuke's picture
mlboydaisuke
manifest 0.1.3: capabilities.thinking.control = never (what the bundle's template does about thinking, derived from the template inside the bundle)
1ac9676 verified 1 day ago
  • .gitattributes
    1.58 kB
    Upload Hy-MT2-1.8B_int8.litertlm with huggingface_hub about 1 month ago
  • Hy-MT2-1.8B_int8.litertlm
    1.83 GB
    xet
    GPU graph re-ship: KV-cache update and attention rewritten into the runtime's GPU composite ops plus a 16-token prefill signature; weights, tokenizer and metadata byte-identical; CPU output bit-identical (card and manifest updated) 2 days ago
  • README.md
    12.4 kB
    Card: measured device / browser results (edge-compat, 2026-09) 2 days ago
  • litertlm_manifest.json
    9.09 kB
    manifest 0.1.3: capabilities.thinking.control = never (what the bundle's template does about thinking, derived from the template inside the bundle) 1 day ago