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AI 모델 84760
- mms-tts-bcc-script_arabic↗
facebook
- mms-tts-snn↗
facebook
- wav2vec2-large-slavic-voxpopuli-v2↗
facebook
- MiniMax-H3-Realism-People-LoRA↗
fal
A LoRA adapter for MiniMax H3 specialized in realistic people: faces that hold up in close-up, natural skin texture, believable expressions and gestures, film-style lighting and documentary camera movement. 19 pairs, **same prompt, same seed, adapter on vs off** — the only variable is the LoRA. The trigger word is present on both sides, so it is not doing the work. Each pair plays the base model first, then freezes and dims while the adapted version plays beside it. Close-up talking faces, arguments, several people speaking at once, weathered skin, children, ritual and travel scenes. Nothing cherry-picked from a larger render batch: these are the pairs that were kept, in order. (download the comparison, 197s, 1920x1080)
- bibo-asr-ckpt↗
fhai50032
- jebadiah-9b-v2↗
frontier-infra
- dots.ocr-GGUF↗
ggml-org
- pix2struct-widget-captioning-base↗
Google
- Hy-MT2-1.8B-1.25Bit-GGUF↗
腾讯
🖥️ Official Website | 💬 GitHub | 🪡 AngelSlim | 📚 Hy-MT2 Report Hy-MT2-1.8B-1.25 Bit-GGUF produced by AngelSlim, For more detailed information, please refer to [[AngelSlim]](https://github.com/Tencent/AngelSlim). Hy-MT2 is a family of “fast-thinking” multilingual translation models designed for complex real-world scenarios. It includes three model sizes: 1.8B, 7B, and 30B-A3B (MoE), all of which support translation among 33 languages and effectively follow translation instructions in multiple languages. For on-device deployment, AngelSlim 1.25-bit extreme quantization reduces the storage requirement of the 1.8B model to only 440 MB and improves inference speed by 1.5x. Multi-dimensional evaluations show that Hy-MT2 delivers outstanding performance across general, real-world business, domain-specific, and instruction-following translation tasks. The 7B and 30B-A3B models outperform open-source models such as DeepSeek-V4-Pro and Kimi K2.6 in fast-thinking mode, while the lightweight 1.8B model also surpasses mainstream commercial APIs from providers such as Microsoft and Doubao overall.
- Infinity-Parser-7B↗
infly