-
Notifications
You must be signed in to change notification settings - Fork 0
Models WebGPU translator
Mike edited this page May 28, 2026
·
1 revision
Режим: WebGPU. Категория: Translator / перевод.
Всего моделей: 2.
| Поле | Значение |
|---|---|
| Название | Xenova/m2m100_418M |
| Label | M2M100 418M |
| Категория | Translator / перевод |
| Runtime/backend | transformers |
| Вес | 0.88 GB catalog size, ~900 MB disk/cache |
| Параметры | 0.418B |
| Минимальные требования | medium - рабочая станция или заметный GPU; disk >= 900 MB; memory/VRAM около 1900 MB; браузер CPU/WASM; WebGPU полезен, если доступен |
| Оптимальные требования | modern CPU plus WebGPU/NPU when available; желательно 2565 MB+ свободной VRAM/RAM и 1412 MB+ disk cache |
| HF link | Xenova/m2m100_418M |
| Доступные quantizations | q8 |
| Краткое описание | Catalog entry for Translator / перевод. |
| Best in | локальный перевод без внешнего API |
| Поле | Значение |
|---|---|
| Название | Xenova/nllb-200-distilled-600M |
| Label | NLLB 200 distilled 600M |
| Категория | Translator / перевод |
| Runtime/backend | transformers |
| Вес | 1.17 GB catalog size, ~1200 MB disk/cache |
| Параметры | 0.6B |
| Минимальные требования | medium - рабочая станция или заметный GPU; disk >= 1200 MB; memory/VRAM около 2300 MB; браузер CPU/WASM; WebGPU полезен, если доступен |
| Оптимальные требования | modern CPU plus WebGPU/NPU when available; желательно 3105 MB+ свободной VRAM/RAM и 1712 MB+ disk cache |
| HF link | Xenova/nllb-200-distilled-600M |
| Доступные quantizations | q8 |
| Краткое описание | Catalog entry for Translator / перевод. |
| Best in | локальный перевод без внешнего API |
- xlocllm
- Quickstart
- About
- Functions Python
- Functions TypeScript
- Use cases
- Examples Python
- Examples TypeScript
- Shared GPU mode
-
Models catalog
- Models The best
- Models Full model list
- Models Use your model
- For native mode
- Models Native LLM tiny small
- Models Native LLM medium
- Models Native LLM large
- Models Native embedding
- Models Native reranker
- Models Native translator
- Models Native tts
- Models Native vlm
- Models Native asr
- Models Native ocr
- Models Native image-classification
- Models Native object-detection
- Models Native image-segmentation
- Models Native depth-estimation
- Models Native document-layout
- Models Native table-detection
- Models Native document-qa
- Models Native language-id
- Models Native audio-classification
- Models Native text-classification
- Models Native ner
- Models Native zero-shot-text
- Models Native summarization
- Models Native text2text
- Models Native code
- For webgpu mode
- For web mode
- Models Web LLM
- Models Web embedding
- Models Web reranker
- Models Web translator
- Models Web tts
- Models Web vlm
- Models Web asr
- Models Web ocr
- Models Web image-classification
- Models Web object-detection
- Models Web image-segmentation
- Models Web depth-estimation
- Models Web document-layout
- Models Web table-detection
- Models Web document-qa
- Models Web zero-shot-image
- Models Web language-id
- Models Web audio-classification
- Models Web text-classification
- Models Web ner
- Models Web zero-shot-text
- Models Web summarization
- Models Web text2text
- Models Web code
- Dev