HuggingFace is offering 9 AI courses for FREE!

Hi everybody, we post-trained Qwen 3.8 27B to be more efficient by figuring out which tokens were linked to overthinking and penalizing them without "attacking" the reasoning length directly then fixed the accuracy with a bit of secret sauce (hint On-Policy Distillation) and achieved great results ( -58% thinking tokens, 1.95x speed up, <1% accuracy loss ) so we wanted to open-source it and hear the feedback of the community. This is the link to the model: https://huggingface.co/ukisai/Swift-Qwen3.8-27b We also also providing a Free Research Purpose API (OpenAI compatible), courtesy of Nvidia who were kind enough to provide us with the GPUs. You can use it to try out the model if you do not have enough compute to run it, it's limited at 5RPM. https://ukisai.com/api/swift/v1/models We also

Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR — a full-fledged framework for restoring faces in videos. It can: 💬 BFR — improve blurry faces. 💬 Colorization — colorize black-and-white videos. 💬 Inpainting — redraw damaged areas. 💬 and combine all of this in one pass. Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source. ⚙️ Installation locally: 1. Create an environment conda create -n svfr python=3.9 -y conda activate svfr 2. Install PyTorch (for your CUDA) pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 3. Install dependencies pip install -r requirements.txt 4. Download models conda install git-lfs git lfs install git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt 5. Start processing videos python infer.py \ --config config/infer.yaml \ --task_ids 0 \ --input_path input.mp4 \ --output_dir results/ \ --crop_face_region Where task_ids: * 0 — face enhancement * 1 — colorization * 2 — redrawing damage An ideal tool if: 🟢you're restoring archival videos; 🟢you're creating historical content; 🟢y

🤗 HuggingFace is offering 9 AI courses for FREE! 📩 These 9 courses covers LLMs, Agents, Deep RL, Audio and more 1️⃣ LLM Course: https://huggingface.co/learn/llm-course/chapter1/1 2️⃣ Agents Course: https://huggingface.co/learn/agents-course/unit0/introduction 3️⃣ Deep Reinforcement Learning Course: https://huggingface.co/learn/deep-rl-course/unit0/introduction 4️⃣ Open-Source AI Cookbook: https://huggingface.co/learn/cookbook/index 5️⃣ Machine Learning for Games Course https://huggingface.co/learn/ml-games-course/unit0/introduction 6️⃣ Hugging Face Audio course: https://huggingface.co/learn/audio-course/chapter0/introduction 7️⃣ Vision Course: https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome 8️⃣ Machine Learning for 3D Course: https://huggingface.co/learn/ml-for-3d-course/unit0/introduction 9️⃣ Hugging Face Diffusion Models Course: https://huggingface.co/learn/diffusion-course/unit0/1 Double Tap ♥️ For More