Instructions to use litert-community/Shieldstral-1.0-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/Shieldstral-1.0-3B 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 # 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/Shieldstral-1.0-3B \ --prompt="Write me a poem"
- LiteRT
How to use litert-community/Shieldstral-1.0-3B 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
Add Shieldstral-1.0-3B-vision_int4_gpu.litertlm - decoder re-exported on litert-converter 0.3.1 so the attention softmax lowers to a builtin; full GPU delegation on Adreno. Vision tower and weights unchanged.
Browse files
.gitattributes
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Shieldstral-1.0-3B_int4.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B_int8.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B-vision_int4.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B_int4.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B_int8.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B-vision_int4.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B-vision_int4_gpu.litertlm filter=lfs diff=lfs merge=lfs -text
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Shieldstral-1.0-3B-vision_int4_gpu.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4b1a34690ed991892bfa8c8dcbafc78a681cbcb9b18e6c8b4544fccdc748339
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size 2783086064
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