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AI 모델 84759
- Std-SFT-Passage-9B↗
AdarshSingh7647
- Ahadadada_Jailbreak_Qwen3.8_27B↗
ahadadada
- BFS-Best-Face-Swap↗
Alissonerdx
BFS is a collection of LoRAs for face, head, and body replacement across Qwen Image 2.1, Qwen Image Edit 2509/2511, Flux 2 Klein, Krea 2, and experimental LTX-2 workflows. Each release has its own base-model, input-order, prompt, and workflow contract. Use the guide for the exact version you are loading. - BFS Head V1 / V1.1 for Qwen Image 2.1 - BFS Body Swap V1.0 for Qwen Image 2.1 - Qwen Image Edit 2509/2511 - Flux 2 Klein - Krea 2 - Experimental LTX-2 weights - Use the LoRA with its matching base model whenever possible. - Follow the input order in the version guide; several BFS head releases intentionally use body first and reference face second. - Start at LoRA strength `1.0`, then adjust for the base model, resolution, and reference image. - The examples and workflows in this repository are demonstrations, not a guarantee of identical results on every image. - Do not use or share results involving public figures or people who have not given consent.
- Fun-ASR-Nano-2512-vllm↗
allendou
- chronos-t5-tiny↗
amazon
🚀 **Update Feb 14, 2025**: Chronos-Bolt & original Chronos models are now available on Amazon SageMaker JumpStart! Check out the tutorial notebook to learn how to deploy Chronos endpoints for production use in a few lines of code. 🚀 **Update Nov 27, 2024**: We have released Chronos-Bolt⚡️ models that are more accurate (5% lower error), up to 250 times faster and 20 times more memory-efficient than the original Chronos models of the same size. Check out the new models here. Chronos is a family of **pretrained time series forecasting models** based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes.
- Virtuoso-Small↗
arcee-ai
- Dolphin-Mistral-24B-Venice-Edition-heretic-2↗
askalgore
- Marco-MT-Algharb↗
ATH-MaaS
- sum-small-GGUF↗
bartowski
- recipesptbr↗
beothorn
