Instructions to use barakplasma/translategemma-4b-it-android-task-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use barakplasma/translategemma-4b-it-android-task-quantized 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
Codex commited on
Commit ·
5f62353
1
Parent(s): e14663c
WIP: add multimodal TranslateGemma bundle
Browse files
README.md
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@@ -29,6 +29,7 @@ Google only publishes WebGPU-only TFLite files. This repo bridges that gap with
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| `artifacts/int4-generic/translategemma-4b-it-int4-generic.litertlm` | ~2 GB | INT4 blockwise quant — faster, lower RAM |
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| `artifacts/dynamic_int8-generic/translategemma-4b-it-dynamic_int8-generic.litertlm` | ~4 GB | Dynamic INT8 — better quality |
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**Start with INT4** if you're unsure — it loads faster and uses less RAM. Use dynamic_int8 for better translation quality.
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| `artifacts/int4-generic/translategemma-4b-it-int4-generic.litertlm` | ~2 GB | INT4 blockwise quant — faster, lower RAM |
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| `artifacts/dynamic_int8-generic/translategemma-4b-it-dynamic_int8-generic.litertlm` | ~4 GB | Dynamic INT8 — better quality |
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| `artifacts/int4-multimodal/translategemma-4b-it-int4-multimodal.litertlm` | ~2.6 GB | INT4 multimodal bundle with image translation support |
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**Start with INT4** if you're unsure — it loads faster and uses less RAM. Use dynamic_int8 for better translation quality.
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artifacts/int4-multimodal/translategemma-4b-it-int4-multimodal.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:1bc8e828fbe56dfb503ac033ac84a9eb941d85a9c196803167fa39b35f7fb033
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size 2757894128
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