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litert-community
/
VibeThinker-3B

Text Generation
LiteRT-LM
LiteRT
litertlm
on-device
edge
qwen2
reasoning
math
Model card Files Files and versions
xet
Community
1

Instructions to use litert-community/VibeThinker-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use litert-community/VibeThinker-3B 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=litert-community/VibeThinker-3B \
      --prompt="Write me a poem"
  • LiteRT

    How to use litert-community/VibeThinker-3B 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
VibeThinker-3B
2.06 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
mlboydaisuke's picture
mlboydaisuke
manifest: Galaxy S26 GPU rows from the S4 gate sweep (Android recommendation where none existed)
7a7581b verified 1 day ago
  • .gitattributes
    1.57 kB
    Upload model.litertlm with huggingface_hub 2 months ago
  • README.md
    10.1 kB
    Card: base_model_relation: quantized (list under the base model's Quantizations) 1 day ago
  • litertlm_manifest.json
    5.66 kB
    manifest: Galaxy S26 GPU rows from the S4 gate sweep (Android recommendation where none existed) 1 day ago
  • model.litertlm
    2.06 GB
    xet
    Restore the vendor's default system prompt in the chat template (weights unchanged). The converter's template probe never renders the block the upstream template emits when the caller sends no system message, so the bundle silently dropped it; with no system message the prompt now renders byte-identical to the upstream chat template's output (see the card note). litertlm_manifest.json regenerated in the same commit. 8 days ago