WindyWord.ai Translation β en β mt
Quality Rating: βββββ (5.0β Premium)
Part of the WindyWord.ai translation fleet β 1,800+ proprietary language pairs.
Quality & Pricing Tier
- 5-star rating: 5.0β βββββ
- Tier: Premium
- Composite score: 97.9 / 100
- Rated via: Grand Rounds v2 β 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/ |
Proprietary fog-of-mirror fork. Safe baseline, quality β Helsinki-NLP original. |
lora-ct2-int8/ |
CT2 INT8 quantized lora. ~25% of size, 2-4Γ faster CPU inference, no quality loss. |
herm0/ |
Deep OPUS-100 fine-tuned improvement. Highest quality when available. |
herm0-ct2-int8/ |
CT2 INT8 of herm0. Best quality + efficient inference. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-en-mt", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-en-mt", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-en-mt/lora-ct2-int8")
Attribution
Derived from Helsinki-NLP/opus-mt-en-mt (Helsinki-NLP OPUS-MT project, CC-BY-4.0).
Proprietary variants created by the WindyWord.ai team:
- lora/: Fog-of-mirror LoRA fine-tune (r=4, Ξ±=8) β legally distinct, quality-preserved
- herm0/: OPUS-100/Tatoeba/WikiMatrix deep fine-tune (if available) β measurably improved
- herm0-scripture/: eBible verse-aligned fine-tune (for 292 scripture pairs)
Commercial Use
The WindyWord.ai platform provides:
- Mobile apps (iOS, Android β coming soon)
- Real-time voice-to-text-to-translation pipeline
- API access with premium model quality
- Offline deployment support
Visit windyword.ai for apps and commercial API access.
License
CC-BY-4.0, inherited from upstream Helsinki-NLP. Attribution required.
Certified by Opus 4.6 Opus-Claw (Dr. C) via WindyWord.ai quality assurance pipeline. Patient file: clinic record