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translate-yo-es
WindstormLabs/translate-yo-es
translate-yo-es is a translation model from WindstormLabs. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as apache-2.0.
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-yo-es Canonical copy: https://huggingface.co/WindyTranslate/translate-yo-es
Access
Public
Updated Oct 1, 2026
Repo size
603 MB
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0
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Repo makeup
Click a slice to open those files.
.safetensors449 MB · 73%
At a glance
- Task
- Translation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 19, 2026
- Updated
- Oct 1, 2026
- SHA
- 0be50055
Try a prompt
Base models
Model card
From the Hugging Face model README
translate-yo-es — Yoruba to Spanish
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-yo-es
Canonical copy: https://huggingface.co/WindyTranslate/translate-yo-es
Fine-tuned by Windstorm Labs from
Helsinki-NLP/opus-mt-yo-es.
Attribution
Derived from Helsinki-NLP/opus-mt-yo-es, copyright the Helsinki-NLP / OPUS-MT project,
licensed under Apache-2.0. Modified by Windstorm Labs. The upstream notice is
retained as the licence requires.
Contents
| Directory | Contents |
|---|---|
lora/ | Windstorm Labs fine-tune. |
lora-ct2-int8/ | CTranslate2 INT8 build of the fine-tune. Recommended for CPU inference. |
herm0/ | Upstream weights, retained for reference. |
herm0-ct2-int8/ | CTranslate2 INT8 build of the upstream weights. |
What we did
LoRA fine-tune on GlobalVoices Yoruba–Spanish parallel data — the model's own language pair — merged into the base weights, then quantized to INT8.
| Rank / alpha | 8 / 16 |
| Learning rate / steps | 2.5e-06 / 50 |
| Target modules | q_proj, v_proj |
| Seed | 42 |
| Training data | GlobalVoices yo-es, 113 sentence pairs |
| Tensors modified | 36 of 259 |
Provenance
upstream model.bin sha256 ac8f61aa0c8eb6c36b02c1e656facbe8bd581cc6623a10e5817e223099dbb3dc
our model.bin sha256 770efc87c1c46cff851f461666ed8ec1d2e1c69685dfaae5e7dc30412a51acc6
Verified after INT8 quantization, on the published artifact.
Notes
- Yoruba–Spanish is a low-resource pair; quality follows the base model.
- No FLORES-200 score is published for this pair because none has been measured.
- No human evaluation was performed.
- Task
- Translation
- Library
- transformers
- License
- apache-2.0
- Created
- May 19, 2026
- Updated
- Oct 1, 2026