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bclermo
/
hermes-edge

Text Generation
LiteRT-LM
English
custom
hermes-edge
mobile-ai
on-device
ios
iphone-16
apple-neural-engine
deepseek
dspark
speculative-decoding
hermes-agent
tool-calling
raven-ecosystem
Model card Files Files and versions
xet
Community
1

Instructions to use bclermo/hermes-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use bclermo/hermes-edge 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 litert-lm
    
    # 2. Download and run this model locally:
    # See: https://ai.google.dev/edge/litert-lm/cli
    litert-lm run \
      --from-huggingface-repo=bclermo/hermes-edge \
      model.litertlm \
      --prompt="Write me a poem"
  • Notebooks
  • Google Colab
  • Kaggle
hermes-edge / scripts
75.8 kB
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  • 1 contributor
History: 2 commits
bclermo's picture
bclermo
Upload folder using huggingface_hub
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  • benchmark.py
    7.2 kB
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  • convert_hf_to_litertlm.py
    5.76 kB
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  • convert_to_litertlm.py
    21.2 kB
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  • deepseek_reasoning_template.py
    5.11 kB
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  • distill_from_gemma.py
    6.42 kB
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  • dspark_draft.py
    8.03 kB
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  • eval.py
    7.53 kB
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  • hermes_tool_format.py
    5.53 kB
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  • train.py
    7.01 kB
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  • train_tokenizer.py
    2.04 kB
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