Instructions to use nikhil2024/gemma3-1b-it-litert-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use nikhil2024/gemma3-1b-it-litert-mirror 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
Gemma 3 1B IT โ int4 (LiteRT / MediaPipe Mirror)
Public mirror of the gemma3-1b-it-int4.task MediaPipe LLM Inference bundle
originally published by litert-community/Gemma3-1B-IT
(a gated repository).
This mirror exists so that the Personal Fitness App can fetch the on-device coach model without requiring users to authenticate to Hugging Face or accept a license through the app.
No modifications were made to the model file โ checksums match the upstream
artifact bit-for-bit. See LICENSE and the Gemma usage terms below.
Source
- Upstream model: https://huggingface.co/litert-community/Gemma3-1B-IT
- Original publisher: Google / litert-community
- Mirrored file:
gemma3-1b-it-int4.task(~555 MB) - Format: MediaPipe LLM Inference
.taskbundle - Quantization: int4
- Context: 2048 tokens
License
This redistribution is governed by the Gemma Terms of Use: https://ai.google.dev/gemma/terms
By downloading or using this file you agree to those terms. See LICENSE for
the full notice.
Per the Gemma terms, this distribution:
- Includes the Gemma Terms of Use alongside the model file
- Identifies this as a derivative distribution mirroring an upstream artifact
- Makes no claims of authorship over the underlying model
If Google or the original publishers request takedown, this mirror will be removed.