Hugging Face @huggingface
The AI community building the future. https://t.co/VkRPD0VKaZ #BlackLivesMatter #stopasianhate huggingface.co NYC and Paris and 🌏 Joined September 2016-
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We have just released a new version of gradio (4.27.0)! This release is all about the `ImageEditor`. A more refined UI. Better handling of layers. And a whole host of bug fixes! Very nice for complex image processing pipelines or programatically interacting with the editor!
Many folks ask me what parts of a popular open-source repository one should consider contributing to. Assuming you're comfortable reading through fairly large codebases, I welcome you to check the contributions of the following folks to Diffusers 🤗 * takuma104 * fabiorigano *…
AutoTrain just added LLM ORPO as a task! ORPO provides the same performance as DPO with 50% reduction in memory since no reference model is needed 💥 Now, train your own zephyr-orpo like models without writing a single line of code 🚀 [powered by trl]
@huggingface PRO or Enterprise user? Then you can combine distilabel 1.0.0 and Llama 3 recent releases to generate a synthetic text dataset using serverless endpoints 🤗
🦫 We have just released `Capybara-Preferences` in collaboration with @kaist_ai and @huggingface A new synthetic preference dataset built using `distilabel` on top of @ldjconfirmed Capybara dataset More details 🧵 huggingface.co/datasets/argil…
How good is @AIatMeta Llama 3 in real-world user scenarios?🤔 The early votes in @lmsysorg are in, and Llama-3 is the best open LLM, even outscoring @OpenAI GPT-4 (March) or @AnthropicAI Claude 3 Haiku! 👑 Llama 3 currently scores at 1199 in #7, only behind the latest @OpenAI…
Earlier today, @AIatMeta released Llama 3!🦙 Marking it as the next step in open AI development! 🚀Llama 3 comes with ~10% improvement compared to Llama 2 and in 2️⃣ sizes, 8B and 70B. 🤯 👉 philschmid.de/sagemaker-llam… Learn how to run Llama 3 70B at 9ms latency with > 2000…
Meta Llama 3 70B Instruct in Hugging Chat! Go have fun! huggingface.co/chat/models/me… huggingface.co/chat/models/me…
LLaMa3 is here! 💥 and AutoTrain already supports it; which means you can fine-tune your LLaMa3 models effortlessly – whether it's locally or on Hugging Face Spaces. Tailor LLaMA 3 to your specific needs by fine tuning it using AutoTrain without writing a single line of code 🚀
Here's all that we know about Meta Llama 3 so far > Trained on 15T tokens > 70B and 8B models released (along with instruction tuned) > 8K context length > 70B scores 82 on MMLU and 81.7 on Human eval > 128K vocab tokenizer - utilises 15% less tokens > Dense model architecture…
Llama 3 released! 🚨🔔@AIatMeta just released their best open LLM! 👑🚀 Llama 3 is the next iteration of Llama with a ~10% relative improvement to its predecessor! 🤯 Llama 3 comes in 2 different sizes 8B and 70B with a new extended tokenizer and commercially permissive license!…
Big announcement: @pleiasfr releases a massive open corpus of 2 million Youtube videos in Creative Commons (CC-By) on @huggingface. Youtube-Commons features 30 billion words of audio transcriptions in multiple languages, and soon other modalities huggingface.co/datasets/PleIA…
Did you know that Argilla and distilabel datasets have over 6 million hub downloads on the Hub? 🤯 Now, distilabel datasets will be even easier to identify thanks to the new icon added to the @huggingface Hub—a nice addition to yesterday's release! github.com/argilla-io/dis…
We've just added a new icon to indicate datasets created using @argilla_io's Distilabel on the @huggingface Hub! Good data is vital for AI so I'm very excited to see the growing number of data tools integrating with the Hub 🚀
💥After months of work, we're thrilled to introduce ⚗️distilabel 1.0.0! 🚀More flexible, robust, and powerful. 🙌 Let's empower the community to build the most impactful datasets for Open Source AI! Blogpost: argilla.io/blog/introduci… Github: github.com/argilla-io/dis…
Damn straight! Mistral just dropped the Mistral 8x22B Instruct weights 🔥 > 90.8% on GSM8K maj@8 > 44.6% on math maj@4 Also Mistral throwing shade on Cohere lol
New free beginner friendly @huggingface course on @DeepLearningAI! 👨🎓🚀 As models get bigger, we need to find new efficient ways to make the inaccessible and practical in Quantization Fundamentals with Hugging Face is a new 1-hour free course. 🆓 deeplearning.ai/short-courses/… Join…
PAG (Perturbed-Attention Guidance) is not getting nearly the attention it deserves, I've adapted it to work on SDXL with diffusers 🧨 ...and it DELIVERS! 🤯 Try it here ▶️ huggingface.co/spaces/multimo… thanks to KU-CVLAB researchers: Donghoon Ahn Hyoungwon Cho et. al ❤️
PAG (Perturbed-Attention Guidance) is not getting nearly the attention it deserves, I've adapted it to work on SDXL with diffusers 🧨 ...and it DELIVERS! 🤯 Try it here ▶️ huggingface.co/spaces/multimo… thanks to KU-CVLAB researchers: Donghoon Ahn Hyoungwon Cho et. al ❤️ https://t.co/olDTlVuahp
Demo for IDEFICS-8B is out! (see next tweet for the link ⬇️) This checkpoint is not optimized to chat, but rather works very well for various tasks, incl visual question answering and document tasks 💬📑 Chatty one is coming soon!
Yann LeCun @ylecun
708K Followers 716 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.AK @_akhaliq
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81K Followers 661 Following 🤗 I build AutoTrain @huggingface 👨🏽💻 World's First 4x Grand Master @kaggle 🎥 YouTube 100k+: https://t.co/BHnem8fTu5 ⭐ GitHub Starmerve @mervenoyann
55K Followers 4K Following open-sourceress at @huggingface 🧙🏻♀️ proud mediterrenean 🍋 I do TL;DR on ML papers sometimesclem 🤗 @ClementDelangue
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31K Followers 2K Following Chief Llama Officer @huggingface 🦙 Founder @AI_Learners. Xoogler (SWE @Google Assistant, 20% PM TF Graphics). 100% Hacker Llama🇵🇪🇲🇽Sasha Rush @srush_nlp
51K Followers 464 Following Professor, Programmer in NYC. Cornell Tech, Hugging Face 🤗 https://t.co/cZl0wTfqGzThomas Wolf @Thom_Wolf
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18K Followers 4K Following AI & Climate @HuggingFace, Board Member of @WiMLworkshop and @ClimateChangeAI. @techreview 35 Innovators under 35, @TEDTalks speaker. She/her/Dr/ 🦋Thomas Simonini ᯅ @ThomasSimonini
6K Followers 1K Following Game Developer making games with AI 🪄 @huggingface 🤗 Writing ML for Games course ➡️ https://t.co/bvW8PMeARO Wrote Deep RL Course ➡️ https://t.co/5Pk3rwOjjqZach Mueller @TheZachMueller
10K Followers 388 Following 🤗 Technical Lead for the Accelerate Project | Passionate about Open Source | Nerd who enjoys touching the grass | #ADHD | He/HimNate Raw @_nateraw
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11K Followers 6K Following Press Lead @HuggingFace / Passionate about AI & news / Previously @radiocanadainfo @ledevoir & coOlivierD @OlivierDehaene
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254 Followers 0 FollowingBigCode @BigCodeProject
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3K Followers 23 Following Yes you're speaking with the 🤗 @huggingface 🧨 diffusers library personallyWe have just released a new version of gradio (4.27.0)! This release is all about the `ImageEditor`. A more refined UI. Better handling of layers. And a whole host of bug fixes! Very nice for complex image processing pipelines or programatically interacting with the editor!
Many folks ask me what parts of a popular open-source repository one should consider contributing to. Assuming you're comfortable reading through fairly large codebases, I welcome you to check the contributions of the following folks to Diffusers 🤗 * takuma104 * fabiorigano *…
Generate your own AI music (In-browser generation) with my new🤗@huggingface space: AI Jukebox Thanks to @xenovacom for making it possible through Transformers.js huggingface.co/spaces/enzostv…
AutoTrain just added LLM ORPO as a task! ORPO provides the same performance as DPO with 50% reduction in memory since no reference model is needed 💥 Now, train your own zephyr-orpo like models without writing a single line of code 🚀 [powered by trl]
@huggingface PRO or Enterprise user? Then you can combine distilabel 1.0.0 and Llama 3 recent releases to generate a synthetic text dataset using serverless endpoints 🤗
🧵 And that's it! ⚗️ To read more about `distilabel` v1.0 check the post below. We’re really looking forward to what the community builds with it! argilla.io/blog/introduci…
🤖 Once prepared, we generated the last assistant response i.e. the completion for those conversations using the following open-source 7B LLMs: - NeuralBeagle14-7B from @maximelabonne - OpenHermes-2.5-Mistral-7B from @Teknium1 - Notus 7B v1 from @argilla_io
🧹 We started with removing some duplicates, keeping only the instances that were not in the previous version of the Capybara dataset we built Then we split the last assistant response from the `conversation` to generate the follow up response with the rest of the conversation
🔙 Some time ago @argilla_io released a subset of around 7k preference pairs from Capybara huggingface.co/datasets/argil… This time we decided to scale that up to cover all the examples within the original Capybara dataset, but this time using the latest version of `distilabel`
🦫 We have just released `Capybara-Preferences` in collaboration with @kaist_ai and @huggingface A new synthetic preference dataset built using `distilabel` on top of @ldjconfirmed Capybara dataset More details 🧵 huggingface.co/datasets/argil…
An excellent example of a domain-specific eval dataset focused on evaluating LLMs on space engineering questions. huggingface.co/datasets/patri….
How good is @AIatMeta Llama 3 in real-world user scenarios?🤔 The early votes in @lmsysorg are in, and Llama-3 is the best open LLM, even outscoring @OpenAI GPT-4 (March) or @AnthropicAI Claude 3 Haiku! 👑 Llama 3 currently scores at 1199 in #7, only behind the latest @OpenAI…
Earlier today, @AIatMeta released Llama 3!🦙 Marking it as the next step in open AI development! 🚀Llama 3 comes with ~10% improvement compared to Llama 2 and in 2️⃣ sizes, 8B and 70B. 🤯 👉 philschmid.de/sagemaker-llam… Learn how to run Llama 3 70B at 9ms latency with > 2000…
Meta Llama 3 70B Instruct in Hugging Chat! Go have fun! huggingface.co/chat/models/me… huggingface.co/chat/models/me…
Here's all that we know about Meta Llama 3 so far > Trained on 15T tokens > 70B and 8B models released (along with instruction tuned) > 8K context length > 70B scores 82 on MMLU and 81.7 on Human eval > 128K vocab tokenizer - utilises 15% less tokens > Dense model architecture…
LLaMa3 is here! 💥 and AutoTrain already supports it; which means you can fine-tune your LLaMa3 models effortlessly – whether it's locally or on Hugging Face Spaces. Tailor LLaMA 3 to your specific needs by fine tuning it using AutoTrain without writing a single line of code 🚀
Llama 3 released! 🚨🔔@AIatMeta just released their best open LLM! 👑🚀 Llama 3 is the next iteration of Llama with a ~10% relative improvement to its predecessor! 🤯 Llama 3 comes in 2 different sizes 8B and 70B with a new extended tokenizer and commercially permissive license!…
Big announcement: @pleiasfr releases a massive open corpus of 2 million Youtube videos in Creative Commons (CC-By) on @huggingface. Youtube-Commons features 30 billion words of audio transcriptions in multiple languages, and soon other modalities huggingface.co/datasets/PleIA…