---
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 |

## Unshipped backends

A backend directory carrying a `NOTES.md` and no `.pte` was exported and
not published. Its note records why.

- `1_7b/vulkan` ([why](https://huggingface.co/software-mansion/react-native-executorch-eurollm/blob/main/1_7b/vulkan/NOTES.md))

## 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/NOTES.md                          261 B
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 uses 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
```