Niels Rogge @NielsRogge
ML Engineer @ML6team, part-time at @huggingface. @KU_Leuven grad. General interest in machine learning, deep learning. Making AI more accessible for everyone! nielsrogge.github.io Belgium Joined April 2010-
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In case you're wondering who the goat is who implemented Whisper, Mistral, Mixtral, Llama-2 and 3 in Transformers, this is him!👇 CEOs would call him a 10x engineer
In case you're wondering who the goat is who implemented Whisper, Mistral, Mixtral, Llama-2 and 3 in Transformers, this is him!👇 CEOs would call him a 10x engineer
Today we really appreciated @narsilou and @huggingface for the hf_transfer package. Transferring xlarge model checkpoints couldn’t be easier! 🚀🔥 github.com/huggingface/hf…
Llama3 was trained on 15 trillion tokens of public data. But where can you find such datasets and recipes?? Here comes the first release of 🍷Fineweb. A high quality large scale filtered web dataset out-performing all current datasets of its scale. We trained 200+ ablation…
Llama3 was trained on 15 trillion tokens of public data. But where can you find such datasets and recipes?? Here comes the first release of 🍷Fineweb. A high quality large scale filtered web dataset out-performing all current datasets of its scale. We trained 200+ ablation…
One question I have here for the @lmsysorg team - are ELO ratings only based on the blind tests or also on the "side-by-side" tab? As otherwise people could boost Llama-3 results
One question I have here for the @lmsysorg team - are ELO ratings only based on the blind tests or also on the "side-by-side" tab? As otherwise people could boost Llama-3 results
If you weren't aware, LLaMa-3 is on @huggingface from day 1! Thanks @finkd huggingface.co/blog/llama3
Super interesting paper about 3D awareness of various vision models. All available on @huggingface: DINOv2: huggingface.co/collections/fa… SigLIP: huggingface.co/collections/go… MiDaS: huggingface.co/collections/In… SAM: huggingface.co/facebook/sam-v… MAE: huggingface.co/facebook/vit-m… etc.
Super interesting paper about 3D awareness of various vision models. All available on @huggingface: DINOv2: huggingface.co/collections/fa… SigLIP: huggingface.co/collections/go… MiDaS: huggingface.co/collections/In… SAM: huggingface.co/facebook/sam-v… MAE: huggingface.co/facebook/vit-m… etc.
Mistral dropped their official 8x22B checkpoints on the hub, including a new instruction tuned one! huggingface.co/mistralai/Mixt…
The @huggingface M4 (multimodal) team released a new model, Idefics-2, and look at those numbers! With only 64 image tokens, the model outperforms LLava-NeXT-13B which uses 2880 image tokens Clever techniques include NaViT and Perceiver resampling Blog: huggingface.co/blog/idefics2
The @huggingface M4 (multimodal) team released a new model, Idefics-2, and look at those numbers! With only 64 image tokens, the model outperforms LLava-NeXT-13B which uses 2880 image tokens Clever techniques include NaViT and Perceiver resampling Blog: huggingface.co/blog/idefics2
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…
Pretty crazy how little effort it takes to push a custom dataset to @huggingface: huggingface.co/datasets/niels… This is the recent dataset that @xai shared for their Grok-1.5 vision preview: x.ai/blog/grok-1.5v
I miss the days of 140 characters Twitter, without influencers putting their text in bold
Weights on @huggingface or it didn't happen Mr. Musk 😎
Weights on @huggingface or it didn't happen Mr. Musk 😎
Anybody can now train a multimodal model on their own dataset in just a few lines of code with TRL 🚀! The SFTTrainer now has support for vision LLMs like LLaVa, so you can fine-tune your models to both see and follow your instructions 👀 TRL: github.com/huggingface/trl Full…
We've made it easier to fine-tune VLMs like LLaVa, check out the tutorial below for more info! The `SFTTrainer` class of TRL now includes experimental support for fine-tuning vision-language models on custom data :)
We've made it easier to fine-tune VLMs like LLaVa, check out the tutorial below for more info! The `SFTTrainer` class of TRL now includes experimental support for fine-tuning vision-language models on custom data :)
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305 Followers 387 Following Postdoc researching fairer large language models and Dutch NLP at @KU_Leuven | ex @apple | PhD @KU_LeuvenYesterday I gave an overview of the LLM alignment landscape at the @zurichnlp meetup - thank you @AlekFicek and @FlorianCaesar for hosting me 🤗! Here's the slides from the talk: docs.google.com/presentation/d…
@NielsRogge Yes. I'm buying him a t-shirt that says "I'm him"
@levelsio I feel like it’s cause of that 45 TB dataset they uploaded yesterday 😭
15T tokens DataLoader, you're welcome
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!
@NielsRogge blind tests only. vote will be invalid if identity leaked.
@NielsRogge @LangChainAI Good point! Let me add this to my todo list ;)
🤗🌐 Ready to explore Gemma models within the Hugging Face ecosystem? Join in on this demo on the open collaboration between Google's open models and @huggingface. → goo.gle/3vXbJZg
1 year diff of the Hugging Face Hub 🤗 (2023) -> (2024) Models: 220k -> 1.025 million (x4.6) Datasets: 50k -> 341k (x6.8) Spaces: 39k ->550k (x14) And people were telling me HF would die when ChatGPT came out 🤔Open ML is here to stay 🚀
Back with more Apache 2.0! We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1: - Outperforms all open models with only 39B active parameters - Native function calling and 64K context Blog: mistral.ai/news/mixtral-8… HF base: huggingface.co/mistralai/Mixt… HF instruct:…
Time for the open-source AI robots revolution 🚀 We’ve been playing with a low-cost DJI robot controlled by 3 local open-source AI models (Whisper, Idefics2, Parler-TTS - all Apache2) & orchestrated by Dora-cs In comments a 250 lines code gist to build on top of it => enjoy!!
@NielsRogge Am I an influencer now 😱? x.com/_lewtun/status…
Anybody can now train a multimodal model on their own dataset in just a few lines of code with TRL 🚀! The SFTTrainer now has support for vision LLMs like LLaVa, so you can fine-tune your models to both see and follow your instructions 👀 TRL: github.com/huggingface/trl Full…
Alright, strap in. Support for Command-R+ was merged into llama.cpp exactly 4 hours ago. We're going to start talking to a GPT-4 level model on local hardware without a GPU. If you have 64GB of RAM, feel free to follow along 🧵
@lvwerra @ServiceNow Why do we allow Nicolas Cage to appear in any more films?! This is people drowned by falling into a pool. Only required were a few films with Nicolas Cage. It's not a zero-sum game, Nicolas Cage films can be deadly!
@NielsRogge You might find our work Striped Attention relevant and interesting (all credit goes to @exists_forall ). Its Ring Attention optimized for causal lm. arxiv.org/abs/2311.09431
This week was one of the most fun ever 😍 - Met @jefrankle (DBRX), @sophiamyang (Mistral) and @ylecun (🐐) in person - Met super interesting people from the Llama team (@misovalko @ThomasScialom) and collaborators (@christiankeller, Code Llama team, and more) - Saw @sarahookr…
These are the faces of people that open source 🤗 Amazing to be with @jefrankle from Databricks, @sarahookr from Cohere, @sophiamyang from Mistral, @dvilasuero from Argilla, and @_lewtun from Hugging Face
Principal Llama Engineer finally got to meet his boss Chief Llama Officer @osanseviero for the first time in person in Parisian Tigermilk bar and it was a blast! @huggingface @AIatMeta partnership and #llamalove 🦙💚
@NielsRogge @karpathy @3blue1brown 3b1b is awesome!
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