Lysandre @LysandreJik
Head of Open-Source at Hugging Face. Maintainer of 🤗/Transformers. I tweet about Open Source. He/him Chinatown, NYC Joined March 2019-
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Introducing 🤗 Diarizers: a library for fine-tuning speaker diarization models 🗣️ Improve multilingual diarization performance by 30% with just 10 minutes of GPU compute time! ⚡️ The first release comes with training scripts, datasets and a Google Colab 🚀 Check it out! ⚒️
Adding more GGUF support on hf-hub. Easy navigation between shards
Today we really appreciated @narsilou and @huggingface for the hf_transfer package. Transferring xlarge model checkpoints couldn’t be easier! 🚀🔥 github.com/huggingface/hf…
Just published the third installment in my outpainting guide series. This one features an inpainting model, preserving all original details. Complete with step-by-step instructions and full code. Read about it here: huggingface.co/blog/OzzyGT/ou…
One of the big questions about @huggingface accelerate during distributed @PyTorch training is how do you optimize your DataLoaders to make use of your multiple GPUs. Happy to share this all with you via another wonderful animated tutorial! youtube.com/watch?v=9Vfauv…
We have just released 🍷 FineWeb: 15 trillion tokens of high quality web data. We filtered and deduplicated all CommonCrawl between 2013 and 2024. Models trained on FineWeb outperform RefinedWeb, C4, DolmaV1.6, The Pile and SlimPajama!
It seems I've started to develop a new habit of writing posts on Hugging Face Hub every Friday 😎 I summarized all the things I want to share from this week, like announcements of models that have appeared on the Leaderboard or some technical updates from my side, so check out…
Few bugs but LLama-3 on Huggingchat ios app is amazing to use. System prompt of review: “You are a hyper-intelligent friendly raccoon that uses first principles based reasoning and system1/system2 thinking to concisely solve every problem in the galaxy while using lots of emojis.
Few bugs but LLama-3 on Huggingchat ios app is amazing to use. System prompt of review: “You are a hyper-intelligent friendly raccoon that uses first principles based reasoning and system1/system2 thinking to concisely solve every problem in the galaxy while using lots of emojis. https://t.co/Br6T3fQIRW
We've just uploaded a GGUF of the 8b llama-3 instruct model on @NousResearch's huggingface org: huggingface.co/NousResearch/M…
This release has flown under the radar. Very excited about HuggingChat on my phone! @huggingface
In Quantization Fundamentals with @huggingface, you'll learn how to quantize open source models, to make them more accessible and efficient. You’ll get hands-on and practice by quantizing open source multimodal and language models. Start now! ➡️ hubs.la/Q02t8Mxd0
New multimodal model in town: Idefics2! 💪 Strong 8B-parameters model: often on par with open 30B counterparts. 🔓Open license: Apache 2.0. 🚀 Strong improvement over Idefics1: +12 points on VQAv2, +30 points on TextVQA while having 10x fewer parameters. 📚 Better data:…
Introducing Idefics 2 🤯 An 8B Vision-Language Model - literally punching above its weight. > Apache 2.0 licensed! 🔥 > Competitive with 30B models like MM1-Chat > 12 point increase in VQAv2, 30 point increase in TextVQA (compared to Idefics 1) > 10x fewer parameters than…
It's the multi-modal week! After Grok 1.5 Vision (fully closed source), Reka core (closed-source + research paper), welcome to Idefics2 by @huggingface (fully open-source with public datasets) - exciting times! huggingface.co/blog/idefics2
Introducing Idefics2, the strongest Vision-Language-Model (VLM) < 10B! 🚀 Idefics2 comes with significantly enhanced capabilities in OCR, document understanding, and visual reasoning. 💬📄🖼️ TL;DR; 📚 8B base and instruction variant 🖼️ Image + text inputs ⇒ Text output 📷…
Welcome Zephyr 141B to Hugging Chat🔥 🎉A Mixtral-8x22B fine-tune ⚡️Super fast generation with TGI 🤗Fully open source (from the data to the UI) huggingface.co/chat/models/Hu…
The new @MistralAI is now #1 on the openLLM leaderboard. Apache 2.0 license too! 🔥🔥🔥
Visualization and sonification 🎹 of the @github commit history of the @huggingface's Diffusers repository.
Call for proposals for PyTorch Conference 2024 are live 😎 Submit to speak until June 7 - we can't wait to hear from you! Full details + guidelines here: hubs.ly/Q02sr2s60
AK @_akhaliq
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1K Followers 99 Following Follow for AI papers and open-source AI repos. AI Tidbits https://t.co/CDKigKMD5f | ex @Stripe | SF AI events https://t.co/61giNXHO1TNew model added to the leaderboard! Model Name hf.co/microsoft/Phi-… Overall rank: 1450 Rank in 3B category: 1 Benchmarks Average: 69.91 ARC: 62.97 HellaSwag: 80.6 MMLU: 69.08 TruthfulQA: 59.88 Winogrande: 72.38 GSM8K: 74.53
Introducing 🤗 Diarizers: a library for fine-tuning speaker diarization models 🗣️ Improve multilingual diarization performance by 30% with just 10 minutes of GPU compute time! ⚡️ The first release comes with training scripts, datasets and a Google Colab 🚀 Check it out! ⚒️
Adding more GGUF support on hf-hub. Easy navigation between shards
Today we really appreciated @narsilou and @huggingface for the hf_transfer package. Transferring xlarge model checkpoints couldn’t be easier! 🚀🔥 github.com/huggingface/hf…
Just published the third installment in my outpainting guide series. This one features an inpainting model, preserving all original details. Complete with step-by-step instructions and full code. Read about it here: huggingface.co/blog/OzzyGT/ou…
One of the big questions about @huggingface accelerate during distributed @PyTorch training is how do you optimize your DataLoaders to make use of your multiple GPUs. Happy to share this all with you via another wonderful animated tutorial! youtube.com/watch?v=9Vfauv…
Wow! @huggingface
Data is all we need! 👑 Not only since Llama 3 have we known that data is all we need. Excited to share 🍷 FineWeb, a 15T token open-source dataset! Fineweb is a deduplicated English web dataset derived from CommonCrawl created at @huggingface! 🌐 TL;DR: 🌐 15T tokens of cleaned…
We have just released 🍷 FineWeb: 15 trillion tokens of high quality web data. We filtered and deduplicated all CommonCrawl between 2013 and 2024. Models trained on FineWeb outperform RefinedWeb, C4, DolmaV1.6, The Pile and SlimPajama!
It seems I've started to develop a new habit of writing posts on Hugging Face Hub every Friday 😎 I summarized all the things I want to share from this week, like announcements of models that have appeared on the Leaderboard or some technical updates from my side, so check out…
@Teknium1 It scales pretty well out of the box, though! 💛 x.com/teortaxestex/s…
Few bugs but LLama-3 on Huggingchat ios app is amazing to use. System prompt of review: “You are a hyper-intelligent friendly raccoon that uses first principles based reasoning and system1/system2 thinking to concisely solve every problem in the galaxy while using lots of emojis.
we just shipped HuggingChat on iOS 💬 The app is super polished and gives you access to the community's best open AI models, on the go. Give it a try! link to Appstore below ⤵️
We've just uploaded a GGUF of the 8b llama-3 instruct model on @NousResearch's huggingface org: huggingface.co/NousResearch/M…
This release has flown under the radar. Very excited about HuggingChat on my phone! @huggingface
In Quantization Fundamentals with @huggingface, you'll learn how to quantize open source models, to make them more accessible and efficient. You’ll get hands-on and practice by quantizing open source multimodal and language models. Start now! ➡️ hubs.la/Q02t8Mxd0
Mixtral 8x22B Instruct is out. It significantly outperforms existing open models, and only uses 39B active parameters (making it significantly faster than 70B models during inference). 1/n
Mixtral 8x22B Instruct is available on our platform, along with all our models: console.mistral.ai The base and the instruct models are also both available for download on Hugging Face ! huggingface.co/mistralai/Mixt… huggingface.co/mistralai/Mixt… 3/n
New multimodal model in town: Idefics2! 💪 Strong 8B-parameters model: often on par with open 30B counterparts. 🔓Open license: Apache 2.0. 🚀 Strong improvement over Idefics1: +12 points on VQAv2, +30 points on TextVQA while having 10x fewer parameters. 📚 Better data:…
Introducing Idefics 2 🤯 An 8B Vision-Language Model - literally punching above its weight. > Apache 2.0 licensed! 🔥 > Competitive with 30B models like MM1-Chat > 12 point increase in VQAv2, 30 point increase in TextVQA (compared to Idefics 1) > 10x fewer parameters than…
It's the multi-modal week! After Grok 1.5 Vision (fully closed source), Reka core (closed-source + research paper), welcome to Idefics2 by @huggingface (fully open-source with public datasets) - exciting times! huggingface.co/blog/idefics2