clone from WindyWord/translate-en-ROMANCE via local upload (ADR-039 Phase C)

.gitattributes

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README.md

@@ -0,0 +1,79 @@
+---
+license: cc-by-4.0
+tags:
+- translation
+- marian
+- windyword
+- english
+- romance-languages
+- italian
+- spanish
+- portuguese
+- french
+- catalan
+- romanian
+language:
+- en
+library_name: transformers
+pipeline_tag: translation
+---
+
+# WindyWord.ai Translation — English → Romance languages
+
+**Translates English → Romance languages (Italian, Spanish, Portuguese, French, Catalan, Romanian).**
+
+**Quality Rating: ⭐⭐⭐⭐⭐  (5.0★ Premium)**
+
+Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
+
+## Quality & Pricing Tier
+
+- **5-star rating:** 5.0★ ⭐⭐⭐⭐⭐
+- **Tier:** Premium
+- **Composite score:** 90.2 / 100
+- **Rated via:** Grand Rounds v2 — an 8-test stress battery (paragraphs, multi-paragraph, native input, domain stress, edge cases, round-trip fidelity, speed, and consistency checks)
+
+## Available Variants
+
+This repository contains multiple deployment formats. Pick the one that matches your use case:
+
+| Variant | Description |
+|---|---|
+| `lora/` | **WindyStandard** — our proprietary production baseline. Stable, reliable, optimized for GPU inference. |
+| `lora-ct2-int8/` | **WindyStandard · CPU INT8** — CTranslate2 quantized version of WindyStandard. ~25% of the size, 2–4× faster on CPU, no measurable quality loss. |
+
+### Quick usage
+
+**Transformers (PyTorch):**
+```python
+from transformers import MarianMTModel, MarianTokenizer
+tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-en-ROMANCE", subfolder="lora")
+model = MarianMTModel.from_pretrained("WindyWord/translate-en-ROMANCE", subfolder="lora")
+```
+
+**CTranslate2 (fast CPU inference):**
+```python
+import ctranslate2
+translator = ctranslate2.Translator("path/to/translate-en-ROMANCE/lora-ct2-int8")
+```
+
+## Commercial Use
+
+The WindyWord.ai platform provides:
+- **Mobile apps** (iOS, Android — coming soon)
+- **Real-time voice-to-text-to-translation** pipeline
+- **API access** with premium model quality
+- **Offline deployment** support
+
+Visit [windyword.ai](https://windyword.ai) for apps and commercial API access.
+
+---
+
+## Provenance & License
+
+Weights derived from the OPUS-MT project ([Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingface.co/Helsinki-NLP/opus-mt-en-ROMANCE)) under CC-BY-4.0. WindyStandard, WindyEnhanced, and WindyScripture variants are proprietary to WindyWord.ai, independently trained and quality-certified via our Grand Rounds v2 test battery.
+
+Licensed CC-BY-4.0 — attribution preserved as required.
+
+*Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090).*
+*Patient file: [clinic record](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/en-ROMANCE.json)*

lora-ct2-int8/config.json

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lora/config.json

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lora/generation_config.json

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lora/tokenizer_config.json

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