Add eurollm exports

.gitattributes

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+*.pte filter=lfs diff=lfs merge=lfs -text
+*.json -filter -diff -merge text

1_7b/mlx/eurollm_1_7b_mlx_int8.pte

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+version https://git-lfs.github.com/spec/v1
+oid sha256:74253d5871aaf79d505dc63cf3b27027a66f234d21d75e90c770224050bb5b3c
+size 1708930048

1_7b/vulkan/eurollm_1_7b_vulkan_int8.pte

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d5661739af034088ec8b27c9af8de6de9d8bb3a85e0c3ffdb0a743bb38df5ea7
+size 1760632576

1_7b/xnnpack/eurollm_1_7b_xnnpack_8da8w.pte

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+version https://git-lfs.github.com/spec/v1
+oid sha256:024c204b0356cb801a11f2f3bd29ff0c2738e8572fb42a9229bc537e1f397061
+size 1662633088

README.md

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+---
+license: apache-2.0
+pipeline_tag: translation
+library_name: executorch
+base_model: utter-project/EuroLLM-1.7B-Instruct
+---
+
+# eurollm
+
+This repository hosts the **eurollm** models exported for the
+[React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch)
+library as ExecuTorch `.pte` programs, ready to run on device.
+
+Upstream model: [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct)
+
+## Variants
+
+| Path | Backend | Precision |
+| --- | --- | --- |
+| `1_7b/xnnpack/eurollm_1_7b_xnnpack_8da8w.pte` | xnnpack | 8da8w |
+| `1_7b/mlx/eurollm_1_7b_mlx_int8.pte` | mlx | int8 |
+| `1_7b/vulkan/eurollm_1_7b_vulkan_int8.pte` | vulkan | int8 |
+
+## Repository structure
+
+```
+1_7b/mlx/config.json                          1.5 kB
+1_7b/mlx/eurollm_1_7b_mlx_int8.pte            1.7 GB
+1_7b/tokenizer.json                           8.2 MB
+1_7b/tokenizer_config.json                    47.4 kB
+1_7b/vulkan/config.json                       1.5 kB
+1_7b/vulkan/eurollm_1_7b_vulkan_int8.pte      1.8 GB
+1_7b/xnnpack/config.json                      1.5 kB
+1_7b/xnnpack/eurollm_1_7b_xnnpack_8da8w.pte   1.7 GB
+config.json                                   29 B
+```
+
+## Compatibility
+
+These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch
+gives no forward compatibility guarantee, so an older runtime may fail to load
+them.
+
+To use them in React Native ExecuTorch, pass the model constant shipped in the
+library's model registry to the corresponding task pipeline. See the
+[documentation](https://docs.swmansion.com/react-native-executorch/docs/fundamentals/downloading-models).
+
+To load these files in your own ExecuTorch runtime, read the
+[compatibility note](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md)
+first.
+
+## Export notes
+
+Weights are 8-bit: 4-bit (8da4w) lost 6-9 BLEU on WMT13 en->de and often failed
+to stop. XNNPACK uses dynamic int8 activations with per-channel int8 weights;
+MLX and Vulkan use int8 weight-only. For translation, prompt it as the model
+card does, without a BOS token:
+
+```
+<|im_start|>system\n<|im_end|>\n<|im_start|>user\nTranslate the following English source text to German:\nEnglish: {text} \nGerman: <|im_end|>\n<|im_start|>assistant\n
+```