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Hersh Gupta

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hersh-gupta

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reacted to merve's post with 🔥 about 1 month ago

Last week we were blessed with open-source models! A recap 💝 https://huggingface.co./collections/merve/nov-29-releases-674ccc255a57baf97b1e2d31 🖼️ Multimodal > At Hugging Face we released SmolVLM, a performant and efficient smol vision language model 💗 > Show Lab released ShowUI-2B: new vision-language-action model to build GUI/web automation agents 🤖 > Rhymes AI has released the base model of Aria: Aria-Base-64K and Aria-Base-8K with their respective context length > ViDoRe team released ColSmolVLM: A new ColPali-like retrieval model based on SmolVLM > Dataset: Llava-CoT-o1-Instruct: new dataset labelled using Llava-CoT multimodal reasoning model📖 > Dataset: LLaVA-CoT-100k dataset used to train Llava-CoT released by creators of Llava-CoT 📕 💬 LLMs > Qwen team released QwQ-32B-Preview, state-of-the-art open-source reasoning model, broke the internet 🔥 > AliBaba has released Marco-o1, a new open-source reasoning model 💥 > NVIDIA released Hymba 1.5B Base and Instruct, the new state-of-the-art SLMs with hybrid architecture (Mamba + transformer) ⏯️ Image/Video Generation > Qwen2VL-Flux: new image generation model based on Qwen2VL image encoder, T5 and Flux for generation > Lightricks released LTX-Video, a new DiT-based video generation model that can generate 24 FPS videos at 768x512 res ⏯️ > Dataset: Image Preferences is a new image generation preference dataset made with DIBT community effort of Argilla 🏷️ Audio > OuteAI released OuteTTS-0.2-500M new multilingual text-to-speech model based on Qwen-2.5-0.5B trained on 5B audio prompt tokens

new activity about 1 month ago

HuggingFaceTB/SmolVLM-Instruct:GGUF format?

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