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yet mighty! 💫"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"We are releasing SmolVLM: a new 2B small vision language made for on-device use, fine-tunable on consumer GPU, immensely memory efficient 🤠 ","raw":"We are releasing SmolVLM: a new 2B small vision language made for on-device use, fine-tunable on consumer GPU, immensely memory efficient 🤠 "},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"We release three checkpoints under Apache 2.0: SmolVLM-Instruct, SmolVLM-Synthetic and SmolVLM-Base ","raw":"We release three checkpoints under Apache 2.0: SmolVLM-Instruct, SmolVLM-Synthetic and SmolVLM-Base "},{"type":"resource","resource":{"type":"collection","id":"HuggingFaceTB/smolvlm-6740bd584b2dcbf51ecb1f39"},"url":"https://huggingface.co/collections/HuggingFaceTB/smolvlm-6740bd584b2dcbf51ecb1f39","raw":"https://huggingface.co/collections/HuggingFaceTB/smolvlm-6740bd584b2dcbf51ecb1f39"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Learn more from our blog here: huggingface.co/blog/smolvlm","raw":"Learn more from our blog here: huggingface.co/blog/smolvlm"},{"type":"new_line","raw":"\n"},{"type":"text","value":"This release comes with a demo, fine-tuning code, MLX integration and TRL integration for DPO 💝","raw":"This release comes with a demo, fine-tuning code, MLX integration and TRL integration for DPO 💝"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Try the demo: ","raw":"Try the demo: "},{"type":"resource","resource":{"type":"space","id":"HuggingFaceTB/SmolVLM"},"url":"https://huggingface.co/spaces/HuggingFaceTB/SmolVLM","raw":"https://huggingface.co/spaces/HuggingFaceTB/SmolVLM"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Fine-tuning Recipe: ","raw":"Fine-tuning Recipe: "},{"type":"link","href":"https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb","raw":"https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Also TRL integration for DPO 💗","raw":"Also TRL integration for DPO 💗"}],"rawContent":"Small yet mighty! 💫\n\nWe are releasing SmolVLM: a new 2B small vision language made for on-device use, fine-tunable on consumer GPU, immensely memory efficient 🤠 \n\nWe release three checkpoints under Apache 2.0: SmolVLM-Instruct, SmolVLM-Synthetic and SmolVLM-Base https://huggingface.co/collections/HuggingFaceTB/smolvlm-6740bd584b2dcbf51ecb1f39\n\nLearn more from our blog here: huggingface.co/blog/smolvlm\nThis release comes with a demo, fine-tuning code, MLX integration and TRL integration for DPO 💝\nTry the demo: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM\nFine-tuning Recipe: https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb\nAlso TRL integration for DPO 💗","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1648113222875-6141a88b3a0ec78603c9e784.png","fullname":"Merve Noyan","name":"merve","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":5621,"isFollowing":false},"attachments":[{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/6141a88b3a0ec78603c9e784/LEKGRb_YXtDHsw1ZKZF7D.png"}],"mentions":[],"reactions":[{"reaction":"🔥","users":["merterbak","loubnabnl","Dref360","John6666","clem","BrigitteTousi","adamelliotfields","catastropiyush","KingNish","omaryshchenko","luanafelbarros","pcuenq"],"count":12},{"reaction":"🤗","users":["John6666","myprime","clem","BrigitteTousi","adamelliotfields","googlefan"],"count":6},{"reaction":"🚀","users":["prithivMLmods","Dref360","clem","BrigitteTousi","vilarin"],"count":5},{"reaction":"👀","users":["maxiw","clem","BrigitteTousi"],"count":3}],"publishedAt":"2024-11-26T16:21:52.000Z","updatedAt":"2024-11-26T16:21:52.007Z","commentators":[],"url":"/posts/merve/204613848521271","totalUniqueImpressions":2535,"identifiedLanguage":{"language":"en","probability":0.6978413462638855},"numComments":0},{"slug":"228178444252021","content":[{"type":"text","value":"Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs.","raw":"Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! 🤯","raw":"- SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! 🤯"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! 🚀","raw":"- Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! 🚀"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU!","raw":"- SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU!"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos!","raw":"- SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos!"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Check out more!","raw":"Check out more!"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Demo: ","raw":"Demo: "},{"type":"resource","resource":{"type":"space","id":"HuggingFaceTB/SmolVLM"},"url":"https://huggingface.co/spaces/HuggingFaceTB/SmolVLM","raw":"https://huggingface.co/spaces/HuggingFaceTB/SmolVLM"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Blog: ","raw":"Blog: "},{"type":"link","href":"https://huggingface.co/blog/smolvlm","raw":"https://huggingface.co/blog/smolvlm"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Model: ","raw":"Model: "},{"type":"resource","resource":{"type":"model","id":"HuggingFaceTB/SmolVLM-Instruct"},"url":"https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct","raw":"https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Fine-tuning script: ","raw":"Fine-tuning script: "},{"type":"link","href":"https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb","raw":"https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb"},{"type":"new_line","raw":"\n"}],"rawContent":"Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs.\n\n- SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! 🤯\n- Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! 🚀\n- SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU!\n- SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos!\n\nCheck out more!\nDemo: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM\nBlog: https://huggingface.co/blog/smolvlm\nModel: https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct\nFine-tuning script: https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb\n","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d66b494bbd0d92b641cdbb/6-7dm7B-JxcoS1QlCPdMN.jpeg","fullname":"Andres Marafioti","name":"andito","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":70,"isFollowing":false},"attachments":[],"mentions":[],"reactions":[{"reaction":"🔥","users":["prithivMLmods","BrigitteTousi","jpgallegoar","davanstrien","pcuenq","clem","Dref360","linoyts","s3nh","Felladrin","iamsingularity","John6666","sadhaklal"],"count":13},{"reaction":"❤️","users":["clem","Dref360","jeffboudier","Felladrin","iamsingularity"],"count":5},{"reaction":"🤗","users":["John6666"],"count":1}],"publishedAt":"2024-11-27T13:30:58.000Z","updatedAt":"2024-11-27T13:30:58.485Z","commentators":[],"url":"/posts/andito/228178444252021","totalUniqueImpressions":774,"identifiedLanguage":{"language":"en","probability":0.7508378028869629},"numComments":0},{"slug":"688229189366355","content":[{"type":"text","value":"First dataset for the new Hugging Face Bluesky community organisation: ","raw":"First dataset for the new Hugging Face Bluesky community organisation: "},{"type":"resource","resource":{"type":"dataset","id":"bluesky-community/one-million-bluesky-posts"},"url":"https://huggingface.co/datasets/bluesky-community/one-million-bluesky-posts","raw":"https://huggingface.co/datasets/bluesky-community/one-million-bluesky-posts"},{"type":"text","value":" 🦋","raw":" 🦋"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"📊 1M public posts from Bluesky's firehose API","raw":"📊 1M public posts from Bluesky's firehose API"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🔍 Includes text, metadata, and language predictions","raw":"🔍 Includes text, metadata, and language predictions"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🔬 Perfect to experiment with using ML for Bluesky 🤗","raw":"🔬 Perfect to experiment with using ML for Bluesky 🤗"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Excited to see people build more open tools for a more open social media platform! ","raw":"Excited to see people build more open tools for a more open social media platform! "}],"rawContent":"First dataset for the new Hugging Face Bluesky community organisation: https://huggingface.co/datasets/bluesky-community/one-million-bluesky-posts 🦋\n\n📊 1M public posts from Bluesky's firehose API\n🔍 Includes text, metadata, and language predictions\n🔬 Perfect to experiment with using ML for Bluesky 🤗\n\nExcited to see people build more open tools for a more open social media platform! ","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1627505688463-60107b385ac3e86b3ea4fc34.jpeg","fullname":"Daniel van Strien","name":"davanstrien","type":"user","isPro":true,"isHf":true,"isMod":false,"followerCount":420,"isFollowing":false},"attachments":[],"mentions":[],"reactions":[{"reaction":"❤️","users":["davanstrien","victor","vilarin","John6666","evijit","YannisTevissen","fdaudens","thomwolf","clem","BrigitteTousi","djuna","g-ronimo"],"count":12},{"reaction":"🔥","users":["stefan-it"],"count":1}],"publishedAt":"2024-11-26T14:27:49.000Z","updatedAt":"2024-11-26T14:27:49.705Z","commentators":[],"url":"/posts/davanstrien/688229189366355","totalUniqueImpressions":1658,"identifiedLanguage":{"language":"en","probability":0.7491356730461121},"numComments":0},{"slug":"901088424576839","content":[{"type":"text","value":"Hackathon: 1-Minute Creative Innovation with AI","raw":"Hackathon: 1-Minute Creative Innovation with AI"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Total Prize: 20,000 USD(USDT)","raw":"Total Prize: 20,000 USD(USDT)"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"\"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"","raw":"\"One-minute creation by AI Coding Autonomous Agent MOUSE-I\""},{"type":"new_line","raw":"\n"},{"type":"text","value":"Hosted by VIDraft | Organized by Korea AI Promotion Association (KAIPA)","raw":"Hosted by VIDraft | Organized by Korea AI Promotion Association (KAIPA)"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🌟 Revolutionary Era of AI Coding","raw":"🌟 Revolutionary Era of AI Coding"},{"type":"new_line","raw":"\n"},{"type":"text","value":"\"Creating a web app in just one minute\" - This is no longer just imagination, but reality. With the emergence of AI Coding Autonomous Agent MOUSE-I (\"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"), we are witnessing a new era of software development.","raw":"\"Creating a web app in just one minute\" - This is no longer just imagination, but reality. With the emergence of AI Coding Autonomous Agent MOUSE-I (\"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"), we are witnessing a new era of software development."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🏆 Period & Prizes","raw":"🏆 Period & Prizes"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Period: November 28 - December 23, 2024","raw":"Period: November 28 - December 23, 2024"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Total Prize: 20,000 USD(USDT)","raw":"Total Prize: 20,000 USD(USDT)"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🏆","raw":"🏆"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Top Rank: 10,000 USDT","raw":"Top Rank: 10,000 USDT"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Highest HuggingFace Trending Rank","raw":"Highest HuggingFace Trending Rank"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"❤️","raw":"❤️"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Top Likes: 5,000 USDT","raw":"Top Likes: 5,000 USDT"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Most Likes","raw":"Most Likes"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"💫","raw":"💫"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Top Creative: 5,000 USDT","raw":"Top Creative: 5,000 USDT"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Most Innovative","raw":"Most Innovative"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🚀 Participation Process","raw":"🚀 Participation Process"},{"type":"new_line","raw":"\n"},{"type":"text","value":"1. Start with MOUSE-I","raw":"1. Start with MOUSE-I"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Access ","raw":"• Access "},{"type":"link","href":"https://VIDraft-mouse1.hf.space","raw":"https://VIDraft-mouse1.hf.space"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Notice ","raw":"• Notice "},{"type":"resource","resource":{"type":"space","id":"VIDraft/Mouse-Hackathon"},"url":"https://huggingface.co/spaces/VIDraft/Mouse-Hackathon","raw":"https://huggingface.co/spaces/VIDraft/Mouse-Hackathon"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Generate basic web app code in 1 minute","raw":"• Generate basic web app code in 1 minute"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Create unlimited content: games, dashboards, landing pages, utilities, etc.","raw":"• Create unlimited content: games, dashboards, landing pages, utilities, etc."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"2. Creative Development","raw":"2. Creative Development"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Free development based on MOUSE-I generated code","raw":"• Free development based on MOUSE-I generated code"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Additional languages like Python can be used","raw":"• Additional languages like Python can be used"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"3. Submission","raw":"3. Submission"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Public deployment on Hugging Face","raw":"• Public deployment on Hugging Face"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Register in Static mode","raw":"• Register in Static mode"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Required in README.md:","raw":"• Required in README.md:"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"short_description: \"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"","raw":"short_description: \"One-minute creation by AI Coding Autonomous Agent MOUSE-I\""},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"📅 Key Dates","raw":"📅 Key Dates"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Submission Deadline: December 23, 2024, midnight (NYC time)","raw":"• Submission Deadline: December 23, 2024, midnight (NYC time)"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Winners Announcement: December 24, 2024","raw":"• Winners Announcement: December 24, 2024"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"✨ Participant Benefits","raw":"✨ Participant Benefits"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Full ownership and copyright of all creations","raw":"• Full ownership and copyright of all creations"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Experience new paradigm of AI coding","raw":"• Experience new paradigm of AI coding"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Multiple submissions allowed from the same account","raw":"• Multiple submissions allowed from the same account"},{"type":"new_line","raw":"\n"},{"type":"text","value":"• Contact: arxivgpt@gmail.com","raw":"• Contact: arxivgpt@gmail.com"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"\"Give Yourself the Best Christmas Gift","raw":"\"Give Yourself the Best Christmas Gift"}],"rawContent":"Hackathon: 1-Minute Creative Innovation with AI\nTotal Prize: 20,000 USD(USDT)\n\n\"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"\nHosted by VIDraft | Organized by Korea AI Promotion Association (KAIPA)\n\n🌟 Revolutionary Era of AI Coding\n\"Creating a web app in just one minute\" - This is no longer just imagination, but reality. With the emergence of AI Coding Autonomous Agent MOUSE-I (\"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"), we are witnessing a new era of software development.\n\n🏆 Period & Prizes\nPeriod: November 28 - December 23, 2024\n\nTotal Prize: 20,000 USD(USDT)\n\n🏆\nTop Rank: 10,000 USDT\nHighest HuggingFace Trending Rank\n\n❤️\nTop Likes: 5,000 USDT\nMost Likes\n\n💫\nTop Creative: 5,000 USDT\nMost Innovative\n\n🚀 Participation Process\n1. Start with MOUSE-I\n• Access https://VIDraft-mouse1.hf.space\n• Notice https://huggingface.co/spaces/VIDraft/Mouse-Hackathon\n• Generate basic web app code in 1 minute\n• Create unlimited content: games, dashboards, landing pages, utilities, etc.\n\n2. Creative Development\n• Free development based on MOUSE-I generated code\n• Additional languages like Python can be used\n\n3. Submission\n• Public deployment on Hugging Face\n• Register in Static mode\n• Required in README.md:\n\nshort_description: \"One-minute creation by AI Coding Autonomous Agent MOUSE-I\"\n\n📅 Key Dates\n• Submission Deadline: December 23, 2024, midnight (NYC time)\n• Winners Announcement: December 24, 2024\n\n✨ Participant Benefits\n• Full ownership and copyright of all creations\n• Experience new paradigm of AI coding\n• Multiple submissions allowed from the same account\n• Contact: arxivgpt@gmail.com\n\n\"Give Yourself the Best Christmas Gift","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/z82tUCF_X18mMaP7m0NCQ.png","fullname":"openfree","name":"openfree","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":39,"isFollowing":false},"attachments":[{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/66e54edddba1e4fee4500a5a/10RSs62kdFlhnCItOWmFc.png"}],"mentions":[],"reactions":[{"reaction":"🔥","users":["openfree","seawolf2357","ginipick","fantos","aiqcamp","fantaxy","lagipa9977","takarajordan","wobenon205"],"count":9},{"reaction":"👀","users":["openfree","seawolf2357","ginipick","fantos","fantaxy","wobenon205","John6666"],"count":7},{"reaction":"❤️","users":["openfree","seawolf2357","fantos","aiqcamp","fantaxy"],"count":5},{"reaction":"➕","users":["openfree","seawolf2357","ginipick","fantos","aiqcamp"],"count":5},{"reaction":"🚀","users":["openfree","seawolf2357","fantos","aiqcamp"],"count":4},{"reaction":"🧠","users":["openfree","seawolf2357","fantos","Riswan-Nopiyar"],"count":4},{"reaction":"😔","users":["openfree","seawolf2357","ginipick","aiqcamp"],"count":4},{"reaction":"👍","users":["openfree","seawolf2357","ginipick","aiqcamp"],"count":4},{"reaction":"🤗","users":["openfree","seawolf2357","fantos"],"count":3},{"reaction":"😎","users":["openfree","seawolf2357","ginipick"],"count":3},{"reaction":"🤝","users":["openfree","seawolf2357","fantaxy"],"count":3},{"reaction":"🤯","users":["openfree","seawolf2357"],"count":2}],"publishedAt":"2024-11-28T00:22:13.000Z","updatedAt":"2024-11-28T00:26:06.311Z","commentators":[],"url":"/posts/openfree/901088424576839","totalUniqueImpressions":343,"identifiedLanguage":{"language":"en","probability":0.8391797542572021},"numComments":0},{"slug":"451880010541119","content":[{"type":"text","value":"Let’s make a generation of amazing image-generation models","raw":"Let’s make a generation of amazing image-generation models"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"The best image generation models are trained on human preference datasets, where annotators have selected the best image from a choice of two. Unfortunately, many of these datasets are closed source so the community cannot train open models on them. Let’s change that!","raw":"The best image generation models are trained on human preference datasets, where annotators have selected the best image from a choice of two. Unfortunately, many of these datasets are closed source so the community cannot train open models on them. Let’s change that!"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"The community can contribute image preferences for an open-source dataset that could be used for building AI models that convert text to image, like the flux or stable diffusion families. The dataset will be open source so everyone can use it to train models that we can all use.","raw":"The community can contribute image preferences for an open-source dataset that could be used for building AI models that convert text to image, like the flux or stable diffusion families. The dataset will be open source so everyone can use it to train models that we can all use."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Blog: ","raw":"Blog: "},{"type":"link","href":"https://huggingface.co/blog/burtenshaw/image-preferences","raw":"https://huggingface.co/blog/burtenshaw/image-preferences"},{"type":"new_line","raw":"\n"}],"rawContent":"Let’s make a generation of amazing image-generation models\n\nThe best image generation models are trained on human preference datasets, where annotators have selected the best image from a choice of two. Unfortunately, many of these datasets are closed source so the community cannot train open models on them. Let’s change that!\n\nThe community can contribute image preferences for an open-source dataset that could be used for building AI models that convert text to image, like the flux or stable diffusion families. The dataset will be open source so everyone can use it to train models that we can all use.\n\nBlog: https://huggingface.co/blog/burtenshaw/image-preferences\n","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1677141720071-634ff41ff32062e9eb7b06a3.jpeg","fullname":"David Berenstein","name":"davidberenstein1957","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":168,"isFollowing":false},"attachments":[],"mentions":[],"reactions":[{"reaction":"🔥","users":["heavensnight","davidberenstein1957","prithivMLmods","burtenshaw","davanstrien","Ameeeee","John6666","BrigitteTousi","pcuenq","Akjava"],"count":10},{"reaction":"🚀","users":["davidberenstein1957","burtenshaw","davanstrien","Ameeeee"],"count":4},{"reaction":"😎","users":["davidberenstein1957","burtenshaw","Ameeeee","djuna"],"count":4},{"reaction":"🧠","users":["davidberenstein1957","burtenshaw","Ameeeee"],"count":3},{"reaction":"🤗","users":["davidberenstein1957","burtenshaw","Ameeeee"],"count":3},{"reaction":"➕","users":["davidberenstein1957","burtenshaw","Ameeeee"],"count":3}],"publishedAt":"2024-11-26T12:06:19.000Z","updatedAt":"2024-11-26T12:06:19.002Z","commentators":[],"url":"/posts/davidberenstein1957/451880010541119","totalUniqueImpressions":1358,"identifiedLanguage":{"language":"en","probability":0.8906111717224121},"numComments":0},{"slug":"635419468276177","content":[{"type":"text","value":"FLUX Redux is a hidden Gem","raw":"FLUX Redux is a hidden Gem"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI","raw":"I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Style Model Merge Strength : 0.5","raw":"Style Model Merge Strength : 0.5"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"FLUX Guidance Scale is : 6","raw":"FLUX Guidance Scale is : 6"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( ","raw":"Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( "},{"type":"link","href":"https://youtu.be/FvpWy1x5etM","raw":"https://youtu.be/FvpWy1x5etM"},{"type":"text","value":" ) - 70 epoch","raw":" ) - 70 epoch"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime","raw":"Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime"}],"rawContent":"FLUX Redux is a hidden Gem\n\nI am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI\n\nStyle Model Merge Strength : 0.5\n\nFLUX Guidance Scale is : 6\n\nUsed base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch\n\nPrompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1672531901326-6345bd89fe134dfd7a0dba40.png","fullname":"Furkan Gözükara","name":"MonsterMMORPG","type":"user","isPro":false,"isHf":false,"isMod":false,"followerCount":383,"isFollowing":false},"attachments":[{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/Gzb7zVIMQGfUeDMsjB_8f.png"},{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/3yj8dPaGCPXTkrFne1_m0.png"},{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/Imrg4UGzpC7sW6Hw8xdwG.jpeg"},{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/GrKqsAROV35vxv5BeULM2.png"}],"mentions":[],"reactions":[{"reaction":"🔥","users":["MonsterMMORPG","Sri-Vigneshwar-DJ","havona3465","win10","Alper666"],"count":5},{"reaction":"👀","users":["MonsterMMORPG","John6666"],"count":2},{"reaction":"❤️","users":["MonsterMMORPG","OreoAu"],"count":2},{"reaction":"🚀","users":["MonsterMMORPG"],"count":1},{"reaction":"🤗","users":["MonsterMMORPG"],"count":1},{"reaction":"😎","users":["MonsterMMORPG"],"count":1},{"reaction":"➕","users":["MonsterMMORPG"],"count":1},{"reaction":"🧠","users":["MonsterMMORPG"],"count":1},{"reaction":"👍","users":["MonsterMMORPG"],"count":1},{"reaction":"🤝","users":["MonsterMMORPG"],"count":1},{"reaction":"🤯","users":["MonsterMMORPG"],"count":1}],"publishedAt":"2024-11-26T23:29:52.000Z","updatedAt":"2024-11-27T12:53:03.772Z","commentators":[{"avatarUrl":"/avatars/9d3bb56984cdbf511463968227bdb304.svg","fullname":"Issou","name":"Jesus666","type":"user","isPro":false,"isHf":false,"isMod":false,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1672531901326-6345bd89fe134dfd7a0dba40.png","fullname":"Furkan Gözükara","name":"MonsterMMORPG","type":"user","isPro":false,"isHf":false,"isMod":false,"followerCount":383,"isFollowing":false}],"url":"/posts/MonsterMMORPG/635419468276177","totalUniqueImpressions":1006,"identifiedLanguage":{"language":"en","probability":0.7387595176696777},"numComments":2},{"slug":"845634377902720","content":[{"type":"text","value":"Something I love about working at Hugging Face is the opportunity to design and work in public. Right now, we’re redesigning the architecture that supports uploads and downloads on the Hub. ","raw":"Something I love about working at Hugging Face is the opportunity to design and work in public. Right now, we’re redesigning the architecture that supports uploads and downloads on the Hub. "},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Datasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS).","raw":"Datasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS)."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Here’s what’s coming:","raw":"Here’s what’s coming:"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"📦 Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads.","raw":"📦 Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads."},{"type":"new_line","raw":"\n"},{"type":"text","value":"⚡ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases.","raw":"⚡ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases."},{"type":"new_line","raw":"\n"},{"type":"text","value":"🔒 Enhanced security: Validate uploads before storage to block malicious or invalid data.","raw":"🔒 Enhanced security: Validate uploads before storage to block malicious or invalid data."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"We analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs. ","raw":"We analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs. "},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"The result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1.","raw":"The result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🔗 Read the blog post for the full details: ","raw":"🔗 Read the blog post for the full details: "},{"type":"link","href":"https://huggingface.co/blog/rearchitecting-uploads-and-downloads","raw":"https://huggingface.co/blog/rearchitecting-uploads-and-downloads"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🌟 Check out our interactive demo to explore the data yourself!","raw":"🌟 Check out our interactive demo to explore the data yourself!"},{"type":"new_line","raw":"\n"},{"type":"resource","resource":{"type":"space","id":"xet-team/cas-analysis"},"url":"https://huggingface.co/spaces/xet-team/cas-analysis","raw":"https://huggingface.co/spaces/xet-team/cas-analysis"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"We’d love to hear your feedback - let us know if you have questions or want to see more. ","raw":"We’d love to hear your feedback - let us know if you have questions or want to see more. "}],"rawContent":"Something I love about working at Hugging Face is the opportunity to design and work in public. Right now, we’re redesigning the architecture that supports uploads and downloads on the Hub. \n\nDatasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS).\n\nHere’s what’s coming:\n\n📦 Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads.\n⚡ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases.\n🔒 Enhanced security: Validate uploads before storage to block malicious or invalid data.\n\nWe analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs. \n\nThe result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1.\n\n🔗 Read the blog post for the full details: https://huggingface.co/blog/rearchitecting-uploads-and-downloads\n\n🌟 Check out our interactive demo to explore the data yourself!\nhttps://huggingface.co/spaces/xet-team/cas-analysis\n\nWe’d love to hear your feedback - let us know if you have questions or want to see more. ","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d50e9ef9cbfa798c590004/FlVe8chafigMfrPpMeJRL.jpeg","fullname":"Jared Sulzdorf","name":"jsulz","type":"user","isPro":true,"isHf":true,"isMod":false,"followerCount":47,"isFollowing":false},"attachments":[],"mentions":[],"reactions":[{"reaction":"👀","users":["John6666","victor","YaTharThShaRma999","clem","TheDrunkenSnail"],"count":5},{"reaction":"🔥","users":["igor-im","pcuenq","clem","TheDrunkenSnail"],"count":4}],"publishedAt":"2024-11-26T17:25:58.000Z","updatedAt":"2024-11-27T23:37:48.210Z","commentators":[{"avatarUrl":"/avatars/cf21cf2c8f1c9d5a8fb35761acdef04b.svg","fullname":"emin temiz","name":"etemiz","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":1,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d50e9ef9cbfa798c590004/FlVe8chafigMfrPpMeJRL.jpeg","fullname":"Jared Sulzdorf","name":"jsulz","type":"user","isPro":true,"isHf":true,"isMod":false,"followerCount":47,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1583857146757-5e67bdd61009063689407479.jpeg","fullname":"Clem 🤗","name":"clem","type":"user","isPro":true,"isHf":true,"isMod":false,"followerCount":1778,"isFollowing":false}],"url":"/posts/jsulz/845634377902720","totalUniqueImpressions":1077,"identifiedLanguage":{"language":"en","probability":0.9127801656723022},"numComments":5},{"slug":"231859503989901","content":[{"type":"text","value":"You can now try out computer use models from the hub to automate your local machine with ","raw":"You can now try out computer use models from the hub to automate your local machine with "},{"type":"link","href":"https://github.com/askui/vision-agent","raw":"https://github.com/askui/vision-agent"},{"type":"text","value":". 💻","raw":". 💻"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"code_fence","code":"import time\nfrom askui import VisionAgent\n\nwith VisionAgent() as agent:\n agent.tools.webbrowser.open_new(\"http://www.google.com\")\n time.sleep(0.5)\n agent.click(\"search field in the center of the screen\", model_name=\"Qwen/Qwen2-VL-7B-Instruct\")\n agent.type(\"cats\")\n agent.keyboard(\"enter\")\n time.sleep(0.5)\n agent.click(\"text 'Images'\", model_name=\"AskUI/PTA-1\")\n time.sleep(0.5)\n agent.click(\"second cat image\", model_name=\"OS-Copilot/OS-Atlas-Base-7B\")","raw":"```\nimport time\nfrom askui import VisionAgent\n\nwith VisionAgent() as agent:\n agent.tools.webbrowser.open_new(\"http://www.google.com\")\n time.sleep(0.5)\n agent.click(\"search field in the center of the screen\", model_name=\"Qwen/Qwen2-VL-7B-Instruct\")\n agent.type(\"cats\")\n agent.keyboard(\"enter\")\n time.sleep(0.5)\n agent.click(\"text 'Images'\", model_name=\"AskUI/PTA-1\")\n time.sleep(0.5)\n agent.click(\"second cat image\", model_name=\"OS-Copilot/OS-Atlas-Base-7B\")\n```"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Currently these models are integrated with Gradio Spaces API. Also planning to add local inference soon!","raw":"Currently these models are integrated with Gradio Spaces API. Also planning to add local inference soon!"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Currently supported:","raw":"Currently supported:"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- ","raw":"- "},{"type":"resource","resource":{"type":"model","id":"Qwen/Qwen2-VL-7B-Instruct"},"url":"https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct","raw":"https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- ","raw":"- "},{"type":"resource","resource":{"type":"model","id":"Qwen/Qwen2-VL-2B-Instruct"},"url":"https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct","raw":"https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- ","raw":"- "},{"type":"resource","resource":{"type":"model","id":"AskUI/PTA-1"},"url":"https://huggingface.co/AskUI/PTA-1","raw":"https://huggingface.co/AskUI/PTA-1"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- ","raw":"- "},{"type":"resource","resource":{"type":"model","id":"OS-Copilot/OS-Atlas-Base-7B"},"url":"https://huggingface.co/OS-Copilot/OS-Atlas-Base-7B","raw":"https://huggingface.co/OS-Copilot/OS-Atlas-Base-7B"}],"rawContent":"You can now try out computer use models from the hub to automate your local machine with https://github.com/askui/vision-agent. 💻\n\n```\nimport time\nfrom askui import VisionAgent\n\nwith VisionAgent() as agent:\n agent.tools.webbrowser.open_new(\"http://www.google.com\")\n time.sleep(0.5)\n agent.click(\"search field in the center of the screen\", model_name=\"Qwen/Qwen2-VL-7B-Instruct\")\n agent.type(\"cats\")\n agent.keyboard(\"enter\")\n time.sleep(0.5)\n agent.click(\"text 'Images'\", model_name=\"AskUI/PTA-1\")\n time.sleep(0.5)\n agent.click(\"second cat image\", model_name=\"OS-Copilot/OS-Atlas-Base-7B\")\n```\n\nCurrently these models are integrated with Gradio Spaces API. Also planning to add local inference soon!\n\nCurrently supported:\n- https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct\n- https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct\n- https://huggingface.co/AskUI/PTA-1\n- https://huggingface.co/OS-Copilot/OS-Atlas-Base-7B","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6313a26b2c7ffdd9f50187ed/MTBOHg2bMcuOMWFLCZ86L.png","fullname":"Maxi","name":"maxiw","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":53,"isFollowing":false},"attachments":[],"mentions":[],"reactions":[{"reaction":"👍","users":["Shreyas094","akashicmarga","Paul781216","Sengil","victor","SmolGodzilla","carlizor","KevinQHLin","andresantosstudent"],"count":9},{"reaction":"🚀","users":["programmnix-askui","John6666","KevinQHLin"],"count":3},{"reaction":"🤗","users":["prithivMLmods","KevinQHLin"],"count":2}],"publishedAt":"2024-11-26T06:59:55.000Z","updatedAt":"2024-11-27T16:08:49.772Z","commentators":[{"avatarUrl":"/avatars/7adedf1515cacc57036ad57a0861d7a6.svg","fullname":"Soonjae Lee","name":"SoonjaeLee","type":"user","isPro":false,"isHf":false,"isMod":false,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64440be5af034cdfd69ca3a7/qmx24QiDFT29vleCxL9TX.jpeg","fullname":"Qinghong Lin","name":"KevinQHLin","type":"user","isPro":false,"isHf":false,"isMod":false,"followerCount":11,"isFollowing":false}],"url":"/posts/maxiw/231859503989901","totalUniqueImpressions":1822,"identifiedLanguage":{"language":"en","probability":0.6224497556686401},"numComments":2},{"slug":"663466156074132","content":[{"type":"text","value":"The authors of ColPali trained a retrieval model based on SmolVLM 🤠 ","raw":"The authors of ColPali trained a retrieval model based on SmolVLM 🤠 "},{"type":"resource","resource":{"type":"model","id":"vidore/colsmolvlm-alpha"},"url":"https://huggingface.co/vidore/colsmolvlm-alpha","raw":"https://huggingface.co/vidore/colsmolvlm-alpha"},{"type":"new_line","raw":"\n"},{"type":"text","value":"TLDR; ","raw":"TLDR; "},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- ColSmolVLM performs better than ColPali and DSE-Qwen2 on all English tasks","raw":"- ColSmolVLM performs better than ColPali and DSE-Qwen2 on all English tasks"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- ColSmolVLM is more memory efficient than ColQwen2 💗 ","raw":"- ColSmolVLM is more memory efficient than ColQwen2 💗 "}],"rawContent":"The authors of ColPali trained a retrieval model based on SmolVLM 🤠 https://huggingface.co/vidore/colsmolvlm-alpha\nTLDR; \n\n- ColSmolVLM performs better than ColPali and DSE-Qwen2 on all English tasks\n\n- ColSmolVLM is more memory efficient than ColQwen2 💗 ","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1648113222875-6141a88b3a0ec78603c9e784.png","fullname":"Merve Noyan","name":"merve","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":5621,"isFollowing":false},"attachments":[{"type":"image","url":"https://cdn-uploads.huggingface.co/production/uploads/6141a88b3a0ec78603c9e784/famfZqjmQHHZ1ZGIlwWCu.png"}],"mentions":[],"reactions":[{"reaction":"👍","users":["Aurelien-Morgan","BrigitteTousi","ucsahin","John6666"],"count":4},{"reaction":"👀","users":["NIEXCHE","ucsahin"],"count":2},{"reaction":"🔥","users":["andito","ucsahin"],"count":2}],"publishedAt":"2024-11-27T14:12:55.000Z","updatedAt":"2024-11-27T14:12:55.036Z","commentators":[],"url":"/posts/merve/663466156074132","totalUniqueImpressions":635,"identifiedLanguage":{"language":"en","probability":0.8085429668426514},"numComments":0},{"slug":"704781741636095","content":[{"type":"text","value":"Would you like to get a high-quality dataset to pre-train LLMs in your language? 🌏","raw":"Would you like to get a high-quality dataset to pre-train LLMs in your language? 🌏"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"At Hugging Face we're preparing a collaborative annotation effort to build an open-source multilingual dataset as part of the Data is Better Together initiative. ","raw":"At Hugging Face we're preparing a collaborative annotation effort to build an open-source multilingual dataset as part of the Data is Better Together initiative. "},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Follow the link below, check if your language is listed and sign up to be a Language Lead!","raw":"Follow the link below, check if your language is listed and sign up to be a Language Lead!"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"link","href":"https://forms.gle/s9nGajBh6Pb9G72J6","raw":"https://forms.gle/s9nGajBh6Pb9G72J6"}],"rawContent":"Would you like to get a high-quality dataset to pre-train LLMs in your language? 🌏\n\nAt Hugging Face we're preparing a collaborative annotation effort to build an open-source multilingual dataset as part of the Data is Better Together initiative. \n\nFollow the link below, check if your language is listed and sign up to be a Language Lead!\n\nhttps://forms.gle/s9nGajBh6Pb9G72J6","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/63f7888abd28622c9b9a0b80/5t6JU_Cm7yFYTRUGr9eqH.jpeg","fullname":"Natalia Elvira","name":"nataliaElv","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":37,"isFollowing":false},"attachments":[],"mentions":[],"reactions":[{"reaction":"👀","users":["John6666","davanstrien","stefan-it","theblackcat102","BrigitteTousi","ayymen"],"count":6}],"publishedAt":"2024-11-27T10:18:52.000Z","updatedAt":"2024-11-27T10:19:35.487Z","commentators":[],"url":"/posts/nataliaElv/704781741636095","totalUniqueImpressions":637,"identifiedLanguage":{"language":"en","probability":0.8837218284606934},"numComments":0}],"theme":"light","trendingUsers":[{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1648113222875-6141a88b3a0ec78603c9e784.png","fullname":"Merve 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Marafioti","name":"andito","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":70,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1677141720071-634ff41ff32062e9eb7b06a3.jpeg","fullname":"David Berenstein","name":"davidberenstein1957","type":"user","isPro":false,"isHf":true,"isMod":false,"followerCount":168,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1672531901326-6345bd89fe134dfd7a0dba40.png","fullname":"Furkan Gözükara","name":"MonsterMMORPG","type":"user","isPro":false,"isHf":false,"isMod":false,"followerCount":383,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6313a26b2c7ffdd9f50187ed/MTBOHg2bMcuOMWFLCZ86L.png","fullname":"Maxi","name":"maxiw","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":53,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d50e9ef9cbfa798c590004/FlVe8chafigMfrPpMeJRL.jpeg","fullname":"Jared Sulzdorf","name":"jsulz","type":"user","isPro":true,"isHf":true,"isMod":false,"followerCount":47,"isFollowing":false},{"avatarUrl":"/avatars/e47f8ca1133916d6112a18cf9eba63db.svg","fullname":"Luigi","name":"luigi12345","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":13,"isFollowing":false},{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/642827944fe87caede802784/a7s3Ub9Cy6-PuuaX8wwXm.png","fullname":"VILARIN","name":"vilarin","type":"user","isPro":false,"isHf":false,"isMod":false,"followerCount":68,"isFollowing":false}],"acceptLanguages":["*"]}"> <div class="container flex flex-col lg:min-h-[calc(100vh-4rem-1px)] lg:flex-row"> <div class="from-gray-50-to-white order-last flex-none border-gray-100 py-8 pr-4 lg:order-none lg:w-52 lg:border-r lg:bg-gradient-to-l xl:w-60"><h4 class="mb-4 mt-2 truncate font-semibold">Join the conversation</h4> <div class="mr-4 pr-4"><p class="mb-4 text-smd text-gray-400">Join the community of Machine Learners and 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class="relative flex items-center"> <button class="text-gray-500 focus:text-gray-900 dark:focus:text-gray-400 " type="button"> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><circle cx="16" cy="7" r="3" fill="currentColor"></circle><circle cx="16" cy="16" r="3" fill="currentColor"></circle><circle cx="16" cy="25" r="3" fill="currentColor"></circle></svg> </button> </div></div></header> <div class="relative"><div class="relative overflow-hidden break-words px-4 text-smd/6 text-gray-700 dark:text-gray-300 sm:text-base/[1.6rem] [&_a]:underline max-h-[8lh] "><span>Small yet mighty! 💫</span><br><br><span>We are releasing SmolVLM: a new 2B small vision language made for on-device use, fine-tunable on consumer GPU, immensely memory efficient 🤠 </span><br><br><span>We release three checkpoints under Apache 2.0: SmolVLM-Instruct, SmolVLM-Synthetic and SmolVLM-Base </span><a href="https://huggingface.co/collections/HuggingFaceTB/smolvlm-6740bd584b2dcbf51ecb1f39" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5" width="1em" height="1em" aria-hidden="true" focusable="false" role="img" viewBox="0 0 12 13" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><rect x="2" y="2.49902" width="8" height="3.76425" rx="1.16774" fill="currentColor" fill-opacity="0.4"></rect><rect x="6.21875" y="6.7334" width="3.78055" height="3.76425" rx="1.16774" fill="currentColor" fill-opacity="0.7"></rect><rect x="2" y="6.73438" width="3.78055" height="3.76425" rx="1.16774" fill="currentColor" fill-opacity="0.5"></rect></svg> <span class="font-mono text-[.84rem] sm:text-sm">HuggingFaceTB/smolvlm-6740bd584b2dcbf51ecb1f39</span></a><br><br><span>Learn more from our blog here: huggingface.co/blog/smolvlm</span><br><span>This release comes with a demo, fine-tuning code, MLX integration and TRL integration for DPO 💝</span><br><span>Try the demo: </span><a href="https://huggingface.co/spaces/HuggingFaceTB/SmolVLM" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M7.80914 18.7462V24.1907H13.2536V18.7462H7.80914Z" fill="#FF3270"></path><path d="M18.7458 18.7462V24.1907H24.1903V18.7462H18.7458Z" fill="#861FFF"></path><path d="M7.80914 7.80982V13.2543H13.2536V7.80982H7.80914Z" fill="#097EFF"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M4 6.41775C4 5.08246 5.08246 4 6.41775 4H14.6457C15.7626 4 16.7026 4.75724 16.9802 5.78629C18.1505 4.67902 19.7302 4 21.4685 4C25.0758 4 28.0003 6.92436 28.0003 10.5317C28.0003 12.27 27.3212 13.8497 26.2139 15.02C27.243 15.2977 28.0003 16.2376 28.0003 17.3545V25.5824C28.0003 26.9177 26.9177 28.0003 25.5824 28.0003H17.0635H14.9367H6.41775C5.08246 28.0003 4 26.9177 4 25.5824V15.1587V14.9367V6.41775ZM7.80952 7.80952V13.254H13.254V7.80952H7.80952ZM7.80952 24.1907V18.7462H13.254V24.1907H7.80952ZM18.7462 24.1907V18.7462H24.1907V24.1907H18.7462ZM18.7462 10.5317C18.7462 9.0283 19.9651 7.80952 21.4685 7.80952C22.9719 7.80952 24.1907 9.0283 24.1907 10.5317C24.1907 12.0352 22.9719 13.254 21.4685 13.254C19.9651 13.254 18.7462 12.0352 18.7462 10.5317Z" fill="black"></path><path d="M21.4681 7.80982C19.9647 7.80982 18.7458 9.02861 18.7458 10.5321C18.7458 12.0355 19.9647 13.2543 21.4681 13.2543C22.9715 13.2543 24.1903 12.0355 24.1903 10.5321C24.1903 9.02861 22.9715 7.80982 21.4681 7.80982Z" fill="#FFD702"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">HuggingFaceTB/SmolVLM</span></a><br><span>Fine-tuning Recipe: </span><a href="https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb</a><br><span>Also TRL integration for DPO 💗</span> <div class="mt-1 leading-tight"><button class="cursor-pointer text-sm text-blue-500 hover:text-blue-700 dark:hover:text-blue-400">See translation</button> </div> </div> <div class="mt-5 overflow-hidden px-4"><div class="no-scrollbar w-full overflow-x-auto pb-2"><ul 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7.76367H0.698311C0.662937 7.76367 0.627562 7.75854 0.593726 7.74829C0.56194 7.73804 0.531693 7.72266 0.503496 7.7042C0.446077 7.66626 0.401474 7.6109 0.374815 7.54732C0.354308 7.49811 0.345593 7.44377 0.348669 7.39147L0.354821 7.34533C0.368663 7.27766 0.401987 7.21511 0.450691 7.1659L1.13818 6.47892C0.718818 5.96625 0.453767 5.34489 0.373277 4.68662C0.293301 4.02938 0.401474 3.36291 0.684981 2.76411C0.969001 2.16531 1.41708 1.65982 1.97691 1.30608Z" fill="currentColor"></path></svg>Post </div> <div class="ml-auto flex items-center gap-2 [&>div]:flex [&>div]:items-center"><div title="774 impressions" class="mr-1 flex items-center gap-1 text-sm text-gray-400/65"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 16 16"><path fill="currentColor" d="M7.38 13.55V5.78h1.24v7.77H7.38Zm-3.7 0V2.45h1.24v11.1H3.68ZM12.32 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text-gray-700 dark:text-gray-300 sm:text-base/[1.6rem] [&_a]:underline max-h-[8lh] "><span>Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs.</span><br><br><span>- SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! 🤯</span><br><span>- Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! 🚀</span><br><span>- SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU!</span><br><span>- SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos!</span><br><br><span>Check out more!</span><br><span>Demo: </span><a href="https://huggingface.co/spaces/HuggingFaceTB/SmolVLM" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M7.80914 18.7462V24.1907H13.2536V18.7462H7.80914Z" fill="#FF3270"></path><path d="M18.7458 18.7462V24.1907H24.1903V18.7462H18.7458Z" fill="#861FFF"></path><path d="M7.80914 7.80982V13.2543H13.2536V7.80982H7.80914Z" fill="#097EFF"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M4 6.41775C4 5.08246 5.08246 4 6.41775 4H14.6457C15.7626 4 16.7026 4.75724 16.9802 5.78629C18.1505 4.67902 19.7302 4 21.4685 4C25.0758 4 28.0003 6.92436 28.0003 10.5317C28.0003 12.27 27.3212 13.8497 26.2139 15.02C27.243 15.2977 28.0003 16.2376 28.0003 17.3545V25.5824C28.0003 26.9177 26.9177 28.0003 25.5824 28.0003H17.0635H14.9367H6.41775C5.08246 28.0003 4 26.9177 4 25.5824V15.1587V14.9367V6.41775ZM7.80952 7.80952V13.254H13.254V7.80952H7.80952ZM7.80952 24.1907V18.7462H13.254V24.1907H7.80952ZM18.7462 24.1907V18.7462H24.1907V24.1907H18.7462ZM18.7462 10.5317C18.7462 9.0283 19.9651 7.80952 21.4685 7.80952C22.9719 7.80952 24.1907 9.0283 24.1907 10.5317C24.1907 12.0352 22.9719 13.254 21.4685 13.254C19.9651 13.254 18.7462 12.0352 18.7462 10.5317Z" fill="black"></path><path d="M21.4681 7.80982C19.9647 7.80982 18.7458 9.02861 18.7458 10.5321C18.7458 12.0355 19.9647 13.2543 21.4681 13.2543C22.9715 13.2543 24.1903 12.0355 24.1903 10.5321C24.1903 9.02861 22.9715 7.80982 21.4681 7.80982Z" fill="#FFD702"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">HuggingFaceTB/SmolVLM</span></a><br><span>Blog: </span><a href="https://huggingface.co/blog/smolvlm" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://huggingface.co/blog/smolvlm</a><br><span>Model: </span><a href="https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5 text-indigo-500" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">HuggingFaceTB/SmolVLM-Instruct</span></a><br><span>Fine-tuning script: </span><a href="https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb</a><br> <div class="mt-1 leading-tight"><button class="cursor-pointer text-sm text-blue-500 hover:text-blue-700 dark:hover:text-blue-400">See translation</button> </div> </div> </div> <div class="flex w-full flex-wrap items-center justify-between gap-3 px-4"><div class="flex items-center overflow-hidden text-gray-500 max-xl:w-full"> <div class="mr-1 flex select-none gap-x-1 overflow-x-auto overflow-y-hidden text-sm [&::-webkit-scrollbar]:hidden"><div> <span class="inline-block "><span class="contents"><button slot="anchor" class="group relative flex flex-none items-center rounded-full border-none bg-gradient-to-r px-2 py-1.5 leading-none ring-1 ring-inset from-gray-50 to-transparent text-gray-500 shadow-sm ring-gray-100 hover:bg-gray-100 dark:bg-gray-900 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75.6486 87.914 73.4058C88.1081 73.2953 111.894 59.0391 106.957 53.5016C106.128 52.5714 105.112 52.3776 103.975 52.6755C99.3816 53.8788 92.875 63.1252 89.2832 64.0661C88.4803 64.2764 87.8223 64.0718 87.3652 63.2717C84.3496 58.004 108.527 49.1237 104.286 41.4606C103.537 40.1043 102.382 39.7767 100.978 40.1467C94.9077 41.7368 84.1759 56.3249 81.3213 57.0727C81.1031 57.1299 80.9294 57.1052 80.8081 56.9879C78.7536 54.9792 79.1016 53.1105 87.5324 44.1714C95.9628 35.2304 102.046 29.5867 96.8366 26.118C96.2366 25.7175 95.5197 25.6583 94.7228 25.8671C88.603 27.4724 77.7014 44.8455 77.7014 44.8455C77.7014 44.8455 74.8964 50.0578 72.536 50.6761C71.9936 50.8182 71.4743 50.718 71.0186 50.254C68.5821 47.7792 82.2701 29.7999 81.7853 23.9885C81.457 20.0503 79.8379 18.4368 77.7667 18.9794Z" fill="#FF9D00"></path><path class="origin-center transition-transform group-hover:-rotate-12" d="M49.9803 78.828C42.562 72.1775 41.3573 66.0437 46.6755 56.615C51.9942 47.1879 53.3552 35.0782 53.3552 35.0782C53.3552 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role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><circle cx="16" cy="7" r="3" fill="currentColor"></circle><circle cx="16" cy="16" r="3" fill="currentColor"></circle><circle cx="16" cy="25" r="3" fill="currentColor"></circle></svg> </button> </div></div></header> <div class="relative"><div class="relative overflow-hidden break-words px-4 text-smd/6 text-gray-700 dark:text-gray-300 sm:text-base/[1.6rem] [&_a]:underline max-h-[8lh] "><span>First dataset for the new Hugging Face Bluesky community organisation: </span><a href="https://huggingface.co/datasets/bluesky-community/one-million-bluesky-posts" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5 text-red-500" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 25 25"><ellipse cx="12.5" cy="5" fill="currentColor" fill-opacity="0.25" rx="7.5" ry="2"></ellipse><path d="M12.5 15C16.6421 15 20 14.1046 20 13V20C20 21.1046 16.6421 22 12.5 22C8.35786 22 5 21.1046 5 20V13C5 14.1046 8.35786 15 12.5 15Z" fill="currentColor" opacity="0.5"></path><path d="M12.5 7C16.6421 7 20 6.10457 20 5V11.5C20 12.6046 16.6421 13.5 12.5 13.5C8.35786 13.5 5 12.6046 5 11.5V5C5 6.10457 8.35786 7 12.5 7Z" fill="currentColor" opacity="0.5"></path><path d="M5.23628 12C5.08204 12.1598 5 12.8273 5 13C5 14.1046 8.35786 15 12.5 15C16.6421 15 20 14.1046 20 13C20 12.8273 19.918 12.1598 19.7637 12C18.9311 12.8626 15.9947 13.5 12.5 13.5C9.0053 13.5 6.06886 12.8626 5.23628 12Z" fill="currentColor"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">bluesky-community/one-million-bluesky-posts</span></a><span> 🦋</span><br><br><span>📊 1M public posts from Bluesky's firehose API</span><br><span>🔍 Includes text, metadata, and language predictions</span><br><span>🔬 Perfect to experiment with using ML for Bluesky 🤗</span><br><br><span>Excited to see people build more open tools for a more open social media platform! </span> <div class="mt-1 leading-tight"><button class="cursor-pointer text-sm text-blue-500 hover:text-blue-700 dark:hover:text-blue-400">See translation</button> </div> </div> </div> <div class="flex w-full flex-wrap items-center justify-between gap-3 px-4"><div class="flex items-center overflow-hidden text-gray-500 max-xl:w-full"> <div class="mr-1 flex select-none gap-x-1 overflow-x-auto overflow-y-hidden text-sm [&::-webkit-scrollbar]:hidden"><div> <span class="inline-block "><span class="contents"><button slot="anchor" class="group relative flex flex-none items-center rounded-full border-none bg-gradient-to-r px-2 py-1.5 leading-none ring-1 ring-inset from-gray-50 to-transparent 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rounded-full border-none px-2.5 py-1.5 leading-none text-gray-500 ring-1 ring-inset ring-gray-100 hover:bg-gray-100 hover:text-gray-700 active:ring-gray-300 dark:ring-gray-800 dark:hover:bg-gray-900 dark:hover:text-yellow-500 dark:active:ring-orange-500/30">+ </span></button></div> </div></div></div></div></div></article> </div> </div><div><div class="mb-3 flex items-center space-x-3"> <span class="inline-block "><span class="contents"><a class="relative flex h-[15.5px] w-[15.5px] flex-none items-center justify-center" href="/openfree"><img alt="" class="w-3.5 h-3.5 rounded-full !w-[15.5px] !h-[15.5px] flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/z82tUCF_X18mMaP7m0NCQ.png" crossorigin="anonymous"> <div class="absolute -bottom-[0.4rem] -right-[0.3rem] flex h-[13px] w-[13px] items-center justify-center rounded-full bg-white dark:bg-gray-950"><svg class="h-2 text-yellow-500" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" 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</span> <div class="flex items-center overflow-hidden text-smd"> <span class="inline-block "><span class="contents"><a href="/openfree" class="whitespace-nowrap underline decoration-gray-200 hover:decoration-gray-400 dark:decoration-gray-600 dark:hover:decoration-gray-400">openfree</a> </span> </span> <div class="flex items-baseline overflow-hidden whitespace-nowrap"><span>posted an <a href="/posts/openfree/901088424576839" class="whitespace-nowrap underline decoration-gray-200 hover:decoration-gray-400 dark:decoration-gray-600 dark:hover:decoration-gray-400">update</a></span> <span class="ml-4 text-gray-400">about 8 hours ago </span></div> </div></div> <div class="pl-7"><article id="901088424576839" class="peer relative rounded-xl border border-gray-200/70 ring-[2px] ring-gray-400/5 dark:border-gray-850 dark:bg-gray-800/30 dark:ring-transparent hover:border-gray-200 hover:ring-gray-200/40 dark:hover:border-gray-800 dark:hover:ring-gray-800/30 "><a 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7.76367 0.627562 7.75854 0.593726 7.74829C0.56194 7.73804 0.531693 7.72266 0.503496 7.7042C0.446077 7.66626 0.401474 7.6109 0.374815 7.54732C0.354308 7.49811 0.345593 7.44377 0.348669 7.39147L0.354821 7.34533C0.368663 7.27766 0.401987 7.21511 0.450691 7.1659L1.13818 6.47892C0.718818 5.96625 0.453767 5.34489 0.373277 4.68662C0.293301 4.02938 0.401474 3.36291 0.684981 2.76411C0.969001 2.16531 1.41708 1.65982 1.97691 1.30608Z" fill="currentColor"></path></svg>Post </div> <div class="ml-auto flex items-center gap-2 [&>div]:flex [&>div]:items-center"><div title="343 impressions" class="mr-1 flex items-center gap-1 text-sm text-gray-400/65"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 16 16"><path fill="currentColor" d="M7.38 13.55V5.78h1.24v7.77H7.38Zm-3.7 0V2.45h1.24v11.1H3.68ZM12.32 3.56h-1.24v9.99h1.24V3.56Z"></path></svg> 343</div> 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[&_a]:underline max-h-[8lh] "><span>Hackathon: 1-Minute Creative Innovation with AI</span><br><span>Total Prize: 20,000 USD(USDT)</span><br><br><span>"One-minute creation by AI Coding Autonomous Agent MOUSE-I"</span><br><span>Hosted by VIDraft | Organized by Korea AI Promotion Association (KAIPA)</span><br><br><span>🌟 Revolutionary Era of AI Coding</span><br><span>"Creating a web app in just one minute" - This is no longer just imagination, but reality. With the emergence of AI Coding Autonomous Agent MOUSE-I ("One-minute creation by AI Coding Autonomous Agent MOUSE-I"), we are witnessing a new era of software development.</span><br><br><span>🏆 Period & Prizes</span><br><span>Period: November 28 - December 23, 2024</span><br><br><span>Total Prize: 20,000 USD(USDT)</span><br><br><span>🏆</span><br><span>Top Rank: 10,000 USDT</span><br><span>Highest HuggingFace Trending Rank</span><br><br><span>❤️</span><br><span>Top Likes: 5,000 USDT</span><br><span>Most Likes</span><br><br><span>💫</span><br><span>Top Creative: 5,000 USDT</span><br><span>Most Innovative</span><br><br><span>🚀 Participation Process</span><br><span>1. Start with MOUSE-I</span><br><span>• Access </span><a href="https://VIDraft-mouse1.hf.space" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://VIDraft-mouse1.hf.space</a><br><span>• Notice </span><a href="https://huggingface.co/spaces/VIDraft/Mouse-Hackathon" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M7.80914 18.7462V24.1907H13.2536V18.7462H7.80914Z" fill="#FF3270"></path><path d="M18.7458 18.7462V24.1907H24.1903V18.7462H18.7458Z" fill="#861FFF"></path><path d="M7.80914 7.80982V13.2543H13.2536V7.80982H7.80914Z" fill="#097EFF"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M4 6.41775C4 5.08246 5.08246 4 6.41775 4H14.6457C15.7626 4 16.7026 4.75724 16.9802 5.78629C18.1505 4.67902 19.7302 4 21.4685 4C25.0758 4 28.0003 6.92436 28.0003 10.5317C28.0003 12.27 27.3212 13.8497 26.2139 15.02C27.243 15.2977 28.0003 16.2376 28.0003 17.3545V25.5824C28.0003 26.9177 26.9177 28.0003 25.5824 28.0003H17.0635H14.9367H6.41775C5.08246 28.0003 4 26.9177 4 25.5824V15.1587V14.9367V6.41775ZM7.80952 7.80952V13.254H13.254V7.80952H7.80952ZM7.80952 24.1907V18.7462H13.254V24.1907H7.80952ZM18.7462 24.1907V18.7462H24.1907V24.1907H18.7462ZM18.7462 10.5317C18.7462 9.0283 19.9651 7.80952 21.4685 7.80952C22.9719 7.80952 24.1907 9.0283 24.1907 10.5317C24.1907 12.0352 22.9719 13.254 21.4685 13.254C19.9651 13.254 18.7462 12.0352 18.7462 10.5317Z" fill="black"></path><path d="M21.4681 7.80982C19.9647 7.80982 18.7458 9.02861 18.7458 10.5321C18.7458 12.0355 19.9647 13.2543 21.4681 13.2543C22.9715 13.2543 24.1903 12.0355 24.1903 10.5321C24.1903 9.02861 22.9715 7.80982 21.4681 7.80982Z" fill="#FFD702"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">VIDraft/Mouse-Hackathon</span></a><br><span>• Generate basic web app code in 1 minute</span><br><span>• Create unlimited content: games, dashboards, landing pages, utilities, etc.</span><br><br><span>2. Creative Development</span><br><span>• Free development based on MOUSE-I generated code</span><br><span>• Additional languages like Python can be used</span><br><br><span>3. Submission</span><br><span>• Public deployment on Hugging Face</span><br><span>• Register in Static mode</span><br><span>• Required in README.md:</span><br><br><span>short_description: "One-minute creation by AI Coding Autonomous Agent MOUSE-I"</span><br><br><span>📅 Key Dates</span><br><span>• Submission Deadline: December 23, 2024, midnight (NYC time)</span><br><span>• Winners Announcement: December 24, 2024</span><br><br><span>✨ Participant Benefits</span><br><span>• Full ownership and copyright of all creations</span><br><span>• Experience new paradigm of AI coding</span><br><span>• Multiple submissions allowed from the same account</span><br><span>• Contact: arxivgpt@gmail.com</span><br><br><span>"Give Yourself the Best Christmas Gift</span> <div class="mt-1 leading-tight"><button class="cursor-pointer text-sm text-blue-500 hover:text-blue-700 dark:hover:text-blue-400">See translation</button> </div> </div> <div class="mt-5 overflow-hidden px-4"><div class="no-scrollbar w-full 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[&>div]:items-center"><div title="1358 impressions" class="mr-1 flex items-center gap-1 text-sm text-gray-400/65"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 16 16"><path fill="currentColor" d="M7.38 13.55V5.78h1.24v7.77H7.38Zm-3.7 0V2.45h1.24v11.1H3.68ZM12.32 3.56h-1.24v9.99h1.24V3.56Z"></path></svg> 1358</div> <button class="mr-0.5 flex items-center gap-1.5 rounded-md border px-1.5 py-1 text-sm leading-none text-gray-500 shadow-sm hover:bg-gray-50 hover:text-gray-700 hover:shadow-inner dark:border-gray-800 dark:hover:bg-gray-900 dark:hover:text-gray-200 sm:mr-1 sm:px-2"><svg class="text-[.6rem] sm:text-[.7rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 117 109" preserveAspectRatio="xMidYMid meet"><path d="M46.8457 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53.5016C106.128 52.5714 105.112 52.3776 103.975 52.6755C99.3816 53.8788 92.875 63.1252 89.2832 64.0661C88.4803 64.2764 87.8223 64.0718 87.3652 63.2717C84.3496 58.004 108.527 49.1237 104.286 41.4606C103.537 40.1043 102.382 39.7767 100.978 40.1467C94.9077 41.7368 84.1759 56.3249 81.3213 57.0727C81.1031 57.1299 80.9294 57.1052 80.8081 56.9879C78.7536 54.9792 79.1016 53.1105 87.5324 44.1714C95.9628 35.2304 102.046 29.5867 96.8366 26.118C96.2366 25.7175 95.5197 25.6583 94.7228 25.8671C88.603 27.4724 77.7014 44.8455 77.7014 44.8455C77.7014 44.8455 74.8964 50.0578 72.536 50.6761C71.9936 50.8182 71.4743 50.718 71.0186 50.254C68.5821 47.7792 82.2701 29.7999 81.7853 23.9885C81.457 20.0503 79.8379 18.4368 77.7667 18.9794Z" fill="#FF9D00"></path><path class="origin-center transition-transform group-hover:-rotate-12" d="M49.9803 78.828C42.562 72.1775 41.3573 66.0437 46.6755 56.615C51.9942 47.1879 53.3552 35.0782 53.3552 35.0782C53.3552 35.0782 53.2665 28.2751 57.0298 27.9174C60.7928 27.5598 65.9434 36.4115 59.9132 44.2319C53.8826 52.0503 63.9873 53.6425 65.4596 47.3971C66.9318 41.1522 71.1812 24.9746 74.5939 21.1998C78.0046 17.4254 81.2991 18.1763 81.7839 23.9878C82.269 29.7991 68.5791 47.7787 71.0182 50.2548C73.4566 52.729 77.7003 44.8444 77.7003 44.8444C77.7003 44.8444 91.6282 22.6481 96.8356 26.1173C102.043 29.5865 95.9617 35.2293 87.531 44.1704C79.0983 53.1101 78.7525 54.9785 80.8069 56.9869C82.8635 58.9947 100.043 33.796 104.285 41.4595C108.524 49.1233 84.3485 58.0033 87.364 63.2707C90.3802 68.5405 102.023 47.9649 106.956 53.5009C111.893 59.0382 88.1067 73.2944 87.9129 73.4047C80.1779 77.8116 60.2876 88.0663 49.9803 78.828Z" fill="#FFD21E"></path></svg></button></div> </div> <div class="relative flex items-center"> <button class="text-gray-500 focus:text-gray-900 dark:focus:text-gray-400 " type="button"> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><circle cx="16" cy="7" r="3" fill="currentColor"></circle><circle cx="16" cy="16" r="3" fill="currentColor"></circle><circle cx="16" cy="25" r="3" fill="currentColor"></circle></svg> </button> </div></div></header> <div class="relative"><div class="relative overflow-hidden break-words px-4 text-smd/6 text-gray-700 dark:text-gray-300 sm:text-base/[1.6rem] [&_a]:underline max-h-[8lh] "><span>FLUX Redux is a hidden Gem</span><br><br><span>I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI</span><br><br><span>Style Model Merge Strength : 0.5</span><br><br><span>FLUX Guidance Scale is : 6</span><br><br><span>Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( </span><a href="https://youtu.be/FvpWy1x5etM" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://youtu.be/FvpWy1x5etM</a><span> ) - 70 epoch</span><br><br><span>Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime</span> <div class="mt-1 leading-tight"><button class="cursor-pointer text-sm text-blue-500 hover:text-blue-700 dark:hover:text-blue-400">See translation</button> </div> </div> <div class="mt-5 overflow-hidden px-4"><div class="no-scrollbar w-full overflow-x-auto pb-2"><ul class="flex w-auto items-center gap-2"><li class="group/image relative h-24 flex-shrink-0 overflow-hidden rounded-lg border bg-gray-100 dark:bg-gray-800"><button><img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/Gzb7zVIMQGfUeDMsjB_8f.png" class="h-24 min-w-[2rem] object-contain sm:min-w-[4rem]" alt="" draggable="false"></button> </li><li class="group/image relative h-24 flex-shrink-0 overflow-hidden rounded-lg border bg-gray-100 dark:bg-gray-800"><button><img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/3yj8dPaGCPXTkrFne1_m0.png" class="h-24 min-w-[2rem] object-contain sm:min-w-[4rem]" alt="" draggable="false"></button> </li><li class="group/image relative h-24 flex-shrink-0 overflow-hidden rounded-lg border bg-gray-100 dark:bg-gray-800"><button><img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/Imrg4UGzpC7sW6Hw8xdwG.jpeg" class="h-24 min-w-[2rem] object-contain sm:min-w-[4rem]" alt="" draggable="false"></button> </li><li class="group/image relative h-24 flex-shrink-0 overflow-hidden rounded-lg border bg-gray-100 dark:bg-gray-800"><button><img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/GrKqsAROV35vxv5BeULM2.png" class="h-24 min-w-[2rem] object-contain sm:min-w-[4rem]" alt="" draggable="false"></button> </li></ul></div></div></div> <div class="flex w-full flex-wrap items-center justify-between gap-3 px-4"><div class="flex items-center overflow-hidden text-gray-500 max-xl:w-full"><ul class="flex items-center !mr-0 flex-row text-xs mr-1.5"><li class=" -mr-1.5 h-3 w-3 md:h-4 md:w-4 block flex-none rounded-full border-2 border-white bg-gradient-to-br from-gray-300 to-gray-100 dark:border-gray-900 dark:from-gray-600 dark:to-gray-800" title="Jesus666" style="content-visibility:auto;"><a href="/Jesus666" title="Jesus666"><img class="overflow-hidden rounded-full" alt="" src="/avatars/9d3bb56984cdbf511463968227bdb304.svg"> </a> </li><li class=" -mr-1.5 h-3 w-3 md:h-4 md:w-4 block flex-none rounded-full border-2 border-white bg-gradient-to-br from-gray-300 to-gray-100 dark:border-gray-900 dark:from-gray-600 dark:to-gray-800" title="MonsterMMORPG" style="content-visibility:auto;"><a href="/MonsterMMORPG" title="MonsterMMORPG"><img class="overflow-hidden rounded-full" alt="" 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</div></div></div></div></div></article> </div> </div><div><div class="mb-3 flex items-center space-x-3"> <span class="inline-block "><span class="contents"><a class="relative flex h-[15.5px] w-[15.5px] flex-none items-center justify-center" href="/jsulz"><img alt="" class="w-3.5 h-3.5 rounded-full !w-[15.5px] !h-[15.5px] flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d50e9ef9cbfa798c590004/FlVe8chafigMfrPpMeJRL.jpeg" crossorigin="anonymous"> <div class="absolute -bottom-[0.4rem] -right-[0.3rem] flex h-[13px] w-[13px] items-center justify-center rounded-full bg-white dark:bg-gray-950"><svg class="h-2 text-yellow-500" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 8 8" fill="currentColor"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.97691 1.30608C2.53675 0.951309 3.18528 0.763672 3.84816 0.763672C4.7761 0.763672 5.66661 1.13279 6.32283 1.78901C6.97905 2.44523 7.34766 3.33523 7.34766 4.26316C7.34766 4.90707 7.17078 5.53151 6.8437 6.07289C6.69861 6.31281 6.52431 6.53634 6.32283 6.73833C5.66661 7.39455 4.7761 7.76367 3.84816 7.76367H0.698311C0.662937 7.76367 0.627562 7.75854 0.593726 7.74829C0.56194 7.73804 0.531693 7.72266 0.503496 7.7042C0.446077 7.66626 0.401474 7.6109 0.374815 7.54732C0.354308 7.49811 0.345593 7.44377 0.348669 7.39147L0.354821 7.34533C0.368663 7.27766 0.401987 7.21511 0.450691 7.1659L1.13818 6.47892C0.718818 5.96625 0.453767 5.34489 0.373277 4.68662C0.293301 4.02938 0.401474 3.36291 0.684981 2.76411C0.969001 2.16531 1.41708 1.65982 1.97691 1.30608Z" fill="currentColor"></path></svg> </div></a> </span> </span> <div class="flex items-center overflow-hidden text-smd"> <span class="inline-block "><span class="contents"><a href="/jsulz" class="whitespace-nowrap underline decoration-gray-200 hover:decoration-gray-400 dark:decoration-gray-600 dark:hover:decoration-gray-400">jsulz</a> </span> </span> <div class="flex items-baseline overflow-hidden whitespace-nowrap"><span>posted an <a href="/posts/jsulz/845634377902720" class="whitespace-nowrap underline decoration-gray-200 hover:decoration-gray-400 dark:decoration-gray-600 dark:hover:decoration-gray-400">update</a></span> <span class="ml-4 text-gray-400">1 day ago </span></div> </div></div> <div class="pl-7"><article id="845634377902720" class="peer relative rounded-xl border border-gray-200/70 ring-[2px] ring-gray-400/5 dark:border-gray-850 dark:bg-gray-800/30 dark:ring-transparent hover:border-gray-200 hover:ring-gray-200/40 dark:hover:border-gray-800 dark:hover:ring-gray-800/30 "><a href="/posts/jsulz/845634377902720" class="sr-only">view post</a> <div tabindex="0" role="link" class="cursor-pointer"><div class="flex w-full flex-col gap-5 pb-3.5 pt-4"><header class="flex items-center px-4"><div class="flex items-center gap-1 rounded-md bg-yellow-400/20 py-0.5 pl-1.5 pr-2 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Right now, we’re redesigning the architecture that supports uploads and downloads on the Hub. </span><br><br><span>Datasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS).</span><br><br><span>Here’s what’s coming:</span><br><br><span>📦 Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads.</span><br><span>⚡ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases.</span><br><span>🔒 Enhanced security: Validate uploads before storage to block malicious or invalid data.</span><br><br><span>We analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs. </span><br><br><span>The result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1.</span><br><br><span>🔗 Read the blog post for the full details: </span><a href="https://huggingface.co/blog/rearchitecting-uploads-and-downloads" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://huggingface.co/blog/rearchitecting-uploads-and-downloads</a><br><br><span>🌟 Check out our interactive demo to explore the data yourself!</span><br><a href="https://huggingface.co/spaces/xet-team/cas-analysis" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5" 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57.1052 80.8081 56.9879C78.7536 54.9792 79.1016 53.1105 87.5324 44.1714C95.9628 35.2304 102.046 29.5867 96.8366 26.118C96.2366 25.7175 95.5197 25.6583 94.7228 25.8671C88.603 27.4724 77.7014 44.8455 77.7014 44.8455C77.7014 44.8455 74.8964 50.0578 72.536 50.6761C71.9936 50.8182 71.4743 50.718 71.0186 50.254C68.5821 47.7792 82.2701 29.7999 81.7853 23.9885C81.457 20.0503 79.8379 18.4368 77.7667 18.9794Z" fill="#FF9D00"></path><path class="origin-center transition-transform group-hover:-rotate-12" d="M49.9803 78.828C42.562 72.1775 41.3573 66.0437 46.6755 56.615C51.9942 47.1879 53.3552 35.0782 53.3552 35.0782C53.3552 35.0782 53.2665 28.2751 57.0298 27.9174C60.7928 27.5598 65.9434 36.4115 59.9132 44.2319C53.8826 52.0503 63.9873 53.6425 65.4596 47.3971C66.9318 41.1522 71.1812 24.9746 74.5939 21.1998C78.0046 17.4254 81.2991 18.1763 81.7839 23.9878C82.269 29.7991 68.5791 47.7787 71.0182 50.2548C73.4566 52.729 77.7003 44.8444 77.7003 44.8444C77.7003 44.8444 91.6282 22.6481 96.8356 26.1173C102.043 29.5865 95.9617 35.2293 87.531 44.1704C79.0983 53.1101 78.7525 54.9785 80.8069 56.9869C82.8635 58.9947 100.043 33.796 104.285 41.4595C108.524 49.1233 84.3485 58.0033 87.364 63.2707C90.3802 68.5405 102.023 47.9649 106.956 53.5009C111.893 59.0382 88.1067 73.2944 87.9129 73.4047C80.1779 77.8116 60.2876 88.0663 49.9803 78.828Z" fill="#FFD21E"></path></svg></button></div> </div> <div class="relative flex items-center"> <button class="text-gray-500 focus:text-gray-900 dark:focus:text-gray-400 " type="button"> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><circle cx="16" cy="7" r="3" fill="currentColor"></circle><circle cx="16" cy="16" r="3" fill="currentColor"></circle><circle cx="16" cy="25" r="3" fill="currentColor"></circle></svg> </button> </div></div></header> <div class="relative"><div class="relative overflow-hidden break-words px-4 text-smd/6 text-gray-700 dark:text-gray-300 sm:text-base/[1.6rem] [&_a]:underline max-h-[8lh] "><span>You can now try out computer use models from the hub to automate your local machine with </span><a href="https://github.com/askui/vision-agent" rel="nofollow" target="_blank" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400">https://github.com/askui/vision-agent</a><span>. 💻</span><br><br><div class="not-prose relative my-3 last:mb-0"><button class="relative z-1 !absolute top-2 right-2 text-xs text-gray-400 hover:text-gray-600 dark:hover:text-gray-200 " title="Copy to clipboard" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> </button> <div class="overflow-x-auto rounded-md border border-gray-100 bg-gray-50 px-4 py-3.5 text-sm text-gray-700 dark:bg-gray-800/60" translate="no"><pre><code><!-- HTML_TAG_START -->import <span class="hljs-selector-tag">time</span> from askui import VisionAgent with <span class="hljs-built_in">VisionAgent</span>() as agent: agent<span class="hljs-selector-class">.tools</span><span class="hljs-selector-class">.webbrowser</span><span class="hljs-selector-class">.open_new</span>(<span class="hljs-string">"http://www.google.com"</span>) <span class="hljs-selector-tag">time</span><span class="hljs-selector-class">.sleep</span>(<span class="hljs-number">0.5</span>) agent<span class="hljs-selector-class">.click</span>(<span class="hljs-string">"search field in the center of the screen"</span>, model_name=<span class="hljs-string">"Qwen/Qwen2-VL-7B-Instruct"</span>) agent<span class="hljs-selector-class">.type</span>(<span class="hljs-string">"cats"</span>) agent<span class="hljs-selector-class">.keyboard</span>(<span class="hljs-string">"enter"</span>) <span class="hljs-selector-tag">time</span><span class="hljs-selector-class">.sleep</span>(<span class="hljs-number">0.5</span>) agent<span class="hljs-selector-class">.click</span>(<span class="hljs-string">"text 'Images'"</span>, model_name=<span class="hljs-string">"AskUI/PTA-1"</span>) <span class="hljs-selector-tag">time</span><span class="hljs-selector-class">.sleep</span>(<span class="hljs-number">0.5</span>) agent<span class="hljs-selector-class">.click</span>(<span class="hljs-string">"second cat image"</span>, model_name=<span class="hljs-string">"OS-Copilot/OS-Atlas-Base-7B"</span>)<!-- HTML_TAG_END --></code></pre></div></div><br><br><span>Currently these models are integrated with Gradio Spaces API. Also planning to add local inference soon!</span><br><br><span>Currently supported:</span><br><span>- </span><a href="https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5 text-indigo-500" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">Qwen/Qwen2-VL-7B-Instruct</span></a><br><span>- </span><a href="https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5 text-indigo-500" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">Qwen/Qwen2-VL-2B-Instruct</span></a><br><span>- </span><a href="https://huggingface.co/AskUI/PTA-1" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5 text-indigo-500" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">AskUI/PTA-1</span></a><br><span>- </span><a href="https://huggingface.co/OS-Copilot/OS-Atlas-Base-7B" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg 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hover:text-blue-700 dark:hover:text-blue-400">See translation</button> </div> </div> </div> <div class="flex w-full flex-wrap items-center justify-between gap-3 px-4"><div class="flex items-center overflow-hidden text-gray-500 max-xl:w-full"><ul class="flex items-center !mr-0 flex-row text-xs mr-1.5"><li class=" -mr-1.5 h-3 w-3 md:h-4 md:w-4 block flex-none rounded-full border-2 border-white bg-gradient-to-br from-gray-300 to-gray-100 dark:border-gray-900 dark:from-gray-600 dark:to-gray-800" title="SoonjaeLee" style="content-visibility:auto;"><a href="/SoonjaeLee" title="SoonjaeLee"><img class="overflow-hidden rounded-full" alt="" src="/avatars/7adedf1515cacc57036ad57a0861d7a6.svg"> </a> </li><li class=" -mr-1.5 h-3 w-3 md:h-4 md:w-4 block flex-none rounded-full border-2 border-white bg-gradient-to-br from-gray-300 to-gray-100 dark:border-gray-900 dark:from-gray-600 dark:to-gray-800" title="KevinQHLin" style="content-visibility:auto;"><a href="/KevinQHLin" title="KevinQHLin"><img 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!h-[15.5px] flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/1648113222875-6141a88b3a0ec78603c9e784.png" crossorigin="anonymous"> <div class="absolute -bottom-[0.4rem] -right-[0.3rem] flex h-[13px] w-[13px] items-center justify-center rounded-full bg-white dark:bg-gray-950"><svg class="h-2 text-yellow-500" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 8 8" fill="currentColor"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.97691 1.30608C2.53675 0.951309 3.18528 0.763672 3.84816 0.763672C4.7761 0.763672 5.66661 1.13279 6.32283 1.78901C6.97905 2.44523 7.34766 3.33523 7.34766 4.26316C7.34766 4.90707 7.17078 5.53151 6.8437 6.07289C6.69861 6.31281 6.52431 6.53634 6.32283 6.73833C5.66661 7.39455 4.7761 7.76367 3.84816 7.76367H0.698311C0.662937 7.76367 0.627562 7.75854 0.593726 7.74829C0.56194 7.73804 0.531693 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class="ml-4 text-gray-400">about 18 hours ago </span></div> </div></div> <div class="pl-7"><article id="663466156074132" class="peer relative rounded-xl border border-gray-200/70 ring-[2px] ring-gray-400/5 dark:border-gray-850 dark:bg-gray-800/30 dark:ring-transparent hover:border-gray-200 hover:ring-gray-200/40 dark:hover:border-gray-800 dark:hover:ring-gray-800/30 "><a href="/posts/merve/663466156074132" class="sr-only">view post</a> <div tabindex="0" role="link" class="cursor-pointer"><div class="flex w-full flex-col gap-5 pb-3.5 pt-4"><header class="flex items-center px-4"><div class="flex items-center gap-1 rounded-md bg-yellow-400/20 py-0.5 pl-1.5 pr-2 text-[.8rem] leading-tight text-black dark:bg-yellow-600/10"><svg class="text-yellow-500 text-[10px]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 8 8" fill="currentColor"><path 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text-gray-400/65"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 16 16"><path fill="currentColor" d="M7.38 13.55V5.78h1.24v7.77H7.38Zm-3.7 0V2.45h1.24v11.1H3.68ZM12.32 3.56h-1.24v9.99h1.24V3.56Z"></path></svg> 635</div> <button class="mr-0.5 flex items-center gap-1.5 rounded-md border px-1.5 py-1 text-sm leading-none text-gray-500 shadow-sm hover:bg-gray-50 hover:text-gray-700 hover:shadow-inner dark:border-gray-800 dark:hover:bg-gray-900 dark:hover:text-gray-200 sm:mr-1 sm:px-2"><svg class="text-[.6rem] sm:text-[.7rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 117 109" preserveAspectRatio="xMidYMid meet"><path d="M46.8457 0.686121C49.4736 1.92691 51.1875 4.72478 51.1875 7.79027V23.361H76.7812C98.993 23.361 117 42.5325 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51.2799 90.8168 44.7789 84.9909C34.3142 75.6084 32.667 64.951 39.7416 52.4088C43.6573 45.4682 45.0861 36.3726 45.3599 34.3867C45.4683 28.6903 47.8842 21.757 54.468 20.0323L54.4699 20.0318C55.0239 19.8867 55.5956 19.7859 56.1712 19.7309C59.1773 19.4438 62.1466 20.4971 64.623 22.6035C65.913 19.5998 67.2809 17.1208 68.6956 15.5535C70.8289 13.1934 73.1776 11.6646 75.6789 11.0094ZM77.7667 18.9794C76.7826 19.2372 75.6936 19.9845 74.595 21.2006C71.1844 24.9749 66.9331 41.1529 65.4608 47.3982C64.9673 49.4906 63.5054 50.704 62.0054 51.0969C59.0293 51.8765 55.9054 49.431 59.9165 44.2323C65.9468 36.4119 60.7939 27.5606 57.0306 27.9183C56.8657 27.9339 56.7064 27.9628 56.5558 28.0023C53.2746 28.8618 53.3565 35.079 53.3565 35.079C53.3565 35.079 51.9953 47.189 46.6765 56.6158C41.3584 66.0447 42.5631 72.1785 49.9813 78.8287C55.0406 83.3633 62.4091 83.2022 69.5158 81.3405C76.8868 79.4095 83.9765 75.6486 87.914 73.4058C88.1081 73.2953 111.894 59.0391 106.957 53.5016C106.128 52.5714 105.112 52.3776 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cx="16" cy="7" r="3" fill="currentColor"></circle><circle cx="16" cy="16" r="3" fill="currentColor"></circle><circle cx="16" cy="25" r="3" fill="currentColor"></circle></svg> </button> </div></div></header> <div class="relative"><div class="relative overflow-hidden break-words px-4 text-smd/6 text-gray-700 dark:text-gray-300 sm:text-base/[1.6rem] [&_a]:underline max-h-[8lh] "><span>The authors of ColPali trained a retrieval model based on SmolVLM 🤠 </span><a href="https://huggingface.co/vidore/colsmolvlm-alpha" class="inline-flex items-baseline gap-1 text-base text-gray-500 underline decoration-gray-200 hover:text-gray-700 hover:decoration-gray-400 dark:decoration-gray-700 dark:hover:text-gray-300 dark:hover:decoration-gray-400"><svg class="text-sm flex-none translate-y-0.5 text-indigo-500" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> <span class="font-mono text-[.84rem] sm:text-sm">vidore/colsmolvlm-alpha</span></a><br><span>TLDR; </span><br><br><span>- ColSmolVLM performs better than ColPali and DSE-Qwen2 on all English tasks</span><br><br><span>- ColSmolVLM is more memory efficient than ColQwen2 💗 </span> <div class="mt-1 leading-tight"><button class="cursor-pointer text-sm text-blue-500 hover:text-blue-700 dark:hover:text-blue-400">See translation</button> 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class="contents"><a class="relative flex h-[15.5px] w-[15.5px] flex-none items-center justify-center" href="/nataliaElv"><img alt="" class="w-3.5 h-3.5 rounded-full !w-[15.5px] !h-[15.5px] flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/63f7888abd28622c9b9a0b80/5t6JU_Cm7yFYTRUGr9eqH.jpeg" crossorigin="anonymous"> <div class="absolute -bottom-[0.4rem] -right-[0.3rem] flex h-[13px] w-[13px] items-center justify-center rounded-full bg-white dark:bg-gray-950"><svg class="h-2 text-yellow-500" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 8 8" fill="currentColor"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.97691 1.30608C2.53675 0.951309 3.18528 0.763672 3.84816 0.763672C4.7761 0.763672 5.66661 1.13279 6.32283 1.78901C6.97905 2.44523 7.34766 3.33523 7.34766 4.26316C7.34766 4.90707 7.17078 5.53151 6.8437 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1.65982 1.97691 1.30608Z" fill="currentColor"></path></svg>Post </div> <div class="ml-auto flex items-center gap-2 [&>div]:flex [&>div]:items-center"><div title="637 impressions" class="mr-1 flex items-center gap-1 text-sm text-gray-400/65"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 16 16"><path fill="currentColor" d="M7.38 13.55V5.78h1.24v7.77H7.38Zm-3.7 0V2.45h1.24v11.1H3.68ZM12.32 3.56h-1.24v9.99h1.24V3.56Z"></path></svg> 637</div> <button class="mr-0.5 flex items-center gap-1.5 rounded-md border px-1.5 py-1 text-sm leading-none text-gray-500 shadow-sm hover:bg-gray-50 hover:text-gray-700 hover:shadow-inner dark:border-gray-800 dark:hover:bg-gray-900 dark:hover:text-gray-200 sm:mr-1 sm:px-2"><svg class="text-[.6rem] sm:text-[.7rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" 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