Instructions to use litert-community/gemma-4-E2B-it-litert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/gemma-4-E2B-it-litert-lm 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=litert-community/gemma-4-E2B-it-litert-lm \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Add litertlm model for Intel Panther Lake NPU
Browse filesThis model is targeting NPU of Intel Core Processor (Series 3) and Intel Core Ultra Processor (Series 3), that is , Panther Lake SoC.
- .gitattributes +1 -0
- gemma-4-E2B-it_intel_PTL.litertlm +3 -0
.gitattributes
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gemma-4-E2B-it-web.task filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it_qualcomm_qcs8275.litertlm filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it_qualcomm_sm8750.litertlm filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it-web.task filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it_qualcomm_qcs8275.litertlm filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it_qualcomm_sm8750.litertlm filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it_intel_PTL.litertlm filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it_intel_PTL.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c0877f721ff0c057a007b330bbf9f6ec4d0278e730f88db95f2252372c701e8
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size 2948333568
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