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mlboydaisuke
/
Qwen2.5-3B-Instruct-LiteRT

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

Instructions to use mlboydaisuke/Qwen2.5-3B-Instruct-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use mlboydaisuke/Qwen2.5-3B-Instruct-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/Qwen2.5-3B-Instruct-LiteRT \
      --prompt="Write me a poem"
  • LiteRT

    How to use mlboydaisuke/Qwen2.5-3B-Instruct-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
Qwen2.5-3B-Instruct-LiteRT
1.75 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
mlboydaisuke's picture
mlboydaisuke
Card: note the default-system-prompt fix (weights unchanged)
be6cf1d verified about 10 hours ago
  • .gitattributes
    1.57 kB
    Upload model.litertlm with huggingface_hub about 2 months ago
  • LICENSE
    7.39 kB
    Upload LICENSE with huggingface_hub about 2 months ago
  • NOTICE
    248 Bytes
    Upload NOTICE with huggingface_hub about 2 months ago
  • README.md
    7.53 kB
    Card: note the default-system-prompt fix (weights unchanged) about 10 hours ago
  • model.litertlm
    1.75 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). about 10 hours ago