Instructions to use Calandracas/gemma-4-E2B-it-qat-heretic-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use Calandracas/gemma-4-E2B-it-qat-heretic-LiteRT 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
Upload README.md with huggingface_hub
Browse files
README.md
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pipeline_tag: any-to-any
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base_model:
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- coder3101/gemma-4-E2B-it-qat-q4_0-unquantized-heretic
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license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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---
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# gemma-4-E2B-it-qat-heretic-LiteRT
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- `coder3101/gemma-4-E2B-it-qat-q4_0-unquantized-heretic`
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- **Quantization:** `mixed48` (Google gemma4 mixed 4/8-bit mobile scheme (INT4 weights + INT8 projections))
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- **License:** `apache-2.0 AND agpl-3.0`
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## How it was produced
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pipeline_tag: any-to-any
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base_model:
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- coder3101/gemma-4-E2B-it-qat-q4_0-unquantized-heretic
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---
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# gemma-4-E2B-it-qat-heretic-LiteRT
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- `coder3101/gemma-4-E2B-it-qat-q4_0-unquantized-heretic`
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- **Quantization:** `mixed48` (Google gemma4 mixed 4/8-bit mobile scheme (INT4 weights + INT8 projections))
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- **License:** `apache-2.0 AND agpl-3.0`
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## How it was produced
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