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license: apache-2.0
base_model: Helsinki-NLP/opus-mt-cpp-cpp
library_name: transformers
pipeline_tag: translation
tags:
- translation
- marian
---
# translate-cpp-cpp
Machine translation model, `cpp` to `cpp`, published by Windstorm Labs.
## Attribution
Derived from [`Helsinki-NLP/opus-mt-cpp-cpp`](https://huggingface.co/Helsinki-NLP/opus-mt-cpp-cpp), licensed **apache-2.0**.
Windstorm Labs did not train the original model. This notice provides the attribution the
licence requires.
## What was changed
**The weights in this repository have been modified from the original.** A LoRA fine-tune trained on parallel corpus data and merged into the base weights.
| | |
|---|---|
| Method | `lora-fog` |
| Tensors modified | **36 of 254** |
| Max absolute weight delta | **6.841e-05** |
| Verified | tensor-by-tensor against the upstream original, 2026-07-26 |
The comparison is tensor-level rather than file-level: safetensors and PyTorch `.bin`
containers hash differently even when the tensors inside are identical, so a file-hash
mismatch would prove nothing.
## Contents
A single transformers build in safetensors format, loadable directly:
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tok = AutoTokenizer.from_pretrained("WindyTranslate/translate-cpp-cpp")
model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-cpp-cpp")
batch = tok(["<your text here>"], return_tensors="pt", padding=True)
print(tok.batch_decode(model.generate(**batch), skip_special_tokens=True))
```
Other builds of this pair, including CTranslate2 INT8, are not included in this repository.
## Limitations
- A single language direction: `cpp` to `cpp`.
- **No quality benchmark has been run on this pair.** The weights are verified to differ from
the original; that is a statement about provenance, not about translation quality.
- Quality is not monotonic with model size or with the amount of fine-tuning applied.
|