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litert-community
/
LFM2.5-2.6B

Text Generation
LiteRT-LM
LiteRT
litertlm
on-device
edge
hybrid
liquid
reasoning
Model card Files Files and versions
xet
Community

Instructions to use litert-community/LFM2.5-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use litert-community/LFM2.5-2.6B 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/LFM2.5-2.6B \
      --prompt="Write me a poem"
  • LiteRT

    How to use litert-community/LFM2.5-2.6B 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
LFM2.5-2.6B
4.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mlboydaisuke's picture
mlboydaisuke
card: warm-run iPhone decode number (19.7 tok/s)
0fc6a0c verified 2 days ago
  • .gitattributes
    1.64 kB
    LFM2.5-2.6B int8 + int4-b32 .litertlm (litert-lm >= 0.14/0.15), GSM8K 88/83 vs bf16 92 2 days ago
  • LFM2.5-2.6B_int4.litertlm
    1.67 GB
    xet
    LFM2.5-2.6B int8 + int4-b32 .litertlm (litert-lm >= 0.14/0.15), GSM8K 88/83 vs bf16 92 2 days ago
  • LFM2.5-2.6B_int8.litertlm
    2.87 GB
    xet
    LFM2.5-2.6B int8 + int4-b32 .litertlm (litert-lm >= 0.14/0.15), GSM8K 88/83 vs bf16 92 2 days ago
  • LICENSE
    10.6 kB
    LFM2.5-2.6B int8 + int4-b32 .litertlm (litert-lm >= 0.14/0.15), GSM8K 88/83 vs bf16 92 2 days ago
  • README.md
    5.39 kB
    card: warm-run iPhone decode number (19.7 tok/s) 2 days ago