Hugo Touvron @HugoTouvron
Research Scientist at Meta AI Joined January 2020-
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Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3…
It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…
One thing I love about open access LLMs is that you can play with the system prompt as you wish – no need for hacks. So we released 2 additional Llama 2 demos that allow you to change all parameters, including the prompt: 7B: hf.co/spaces/hugging… 13B: hf.co/spaces/hugging…
Llama 2 is open source and available free today for developers, researchers, and entrepreneurs. We’re excited to partner with Azure, AWS, Hugging Face and more to deliver this to all of you. ai.meta.com/llama
Llama 2 is open source and available free today for developers, researchers, and entrepreneurs. We’re excited to partner with Azure, AWS, Hugging Face and more to deliver this to all of you. ai.meta.com/llama
Huge day indeed for AI and LLMs, congrats to Meta 👏 This is now the most capable LLM available directly as weights to anyone from researchers to companies. The models look quite strong, e.g. Table 4 in the paper: MMLU is good to look at, the 70B model is just below GPT-3.5. But…
Huge day indeed for AI and LLMs, congrats to Meta 👏 This is now the most capable LLM available directly as weights to anyone from researchers to companies. The models look quite strong, e.g. Table 4 in the paper: MMLU is good to look at, the 70B model is just below GPT-3.5. But… https://t.co/bY66FiadVE
LLaMa-2 from @metaai is here! Open weights, free for research and commercial use. Pre-trained on 2T tokens. Fine-tuned too (unlike v1). 🔥🔥🔥 Lets gooo.... ai.meta.com/llama/ The paper lists the amazing authors who worked to make this happen night and day. Be sure to thank…
This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned…
Meta releases Llama 2: Open Foundation and Fine-Tuned Chat Models paper: ai.meta.com/research/publi… blog: ai.meta.com/llama/ develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion…
If you lived under a rock: the MMLU score in the LLaMa paper was claimed irreproducible. However, simply using the original eval code perfectly reproduces it. The following conclusions in the blog post is wrong, imo it should be "only use original eval code, or mark with *".
If you lived under a rock: the MMLU score in the LLaMa paper was claimed irreproducible. However, simply using the original eval code perfectly reproduces it. The following conclusions in the blog post is wrong, imo it should be "only use original eval code, or mark with *". https://t.co/XYnn7l1pGR
It seems that Hani @itanih0 has solved the puzzle and the reason why LLaMA has a lower number on Open LLM Leaderboard is due to a tokenization bug (devil's in the detail Great work! Also AFAIK HuggingFace @natolambert @Thom_Wolf is doing an Elo leaderboard with very carefully…
It seems that Hani @itanih0 has solved the puzzle and the reason why LLaMA has a lower number on Open LLM Leaderboard is due to a tokenization bug (devil's in the detail Great work! Also AFAIK HuggingFace @natolambert @Thom_Wolf is doing an Elo leaderboard with very carefully…
Guys, I know you want watch toe-to-toe battles. Here you go: Under official MMLU prompts, default huggingface generate() function, fp16, no fancy prompt engineering, no more complication: LLaMA v.s Falcon = 63.64 v.s 49.08 Happy? Disappointed? Good? Bad? Win? Lose? code +…
Is Falcon really better than LLaMA? Short take: probably not. Longer take: we reproduced LLaMA 65B eval on MMLU and we got 61.4, close to the official number (63.4), much higher than its Open LLM Leaderboard number (48.8), and clearly higher than Falcon (52.7). Code and prompt…
Happy to release a collection of LLaMA 🦙, large language models ranging from 7B to 65B parameters and trained on publicly available datasets. LLaMA-65B is competitive with Chinchilla and PaLM. Paper: tinyurl.com/ycxr2mvj
Happy to release a collection of LLaMA 🦙, large language models ranging from 7B to 65B parameters and trained on publicly available datasets. LLaMA-65B is competitive with Chinchilla and PaLM. Paper: tinyurl.com/ycxr2mvj
Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters. LLaMA-13B outperforms OPT and GPT-3 175B on most benchmarks. LLaMA-65B is competitive with Chinchilla 70B and PaLM 540B. The weights for all models are open and available at research.facebook.com/publications/l… 1/n
I’d like to address the serious matter of some newcomers to AI experiencing imposter syndrome, where someone wonders if they’re a fraud or really belong in the AI community. Lets build a community that encourages and welcomes everyone. deeplearning.ai/the-batch/issu…
Congratulations to @HugoTouvron who brightly defended his PhD thesis today! 👏👏👏 Thank you for the very interesting presentation of your work! Good luck for the future!
Phd Defense annoucement📢 @HugoTouvron will defend his thesis in 2 days! September 29th at 2 p.m. Title: "Architectures and Training for Visual Understanding" CIFRE thesis in collab with @metaai, supervised by @quobbe and @hjegou Youtube link: youtu.be/S4r7UIJHAKI
DeiT III: Revenge of the ViT abs: arxiv.org/abs/2204.07118 on Image classification (ImageNet-1k with and without pre-training on ImageNet-21k), transfer learning and semantic segmentation show that procedure outperforms by a large margin previous fully supervised training recipes
Vision Transformers aim to bring the strengths of transformers into the world of computer vision. It's early days but progress has been happening in areas such as as image recognition, video understanding, 3D analysis, and more. Let’s take a look at some vision transformers ↓
New code walkthrough on keras.io: augmenting a convnet with attention to produce interpretable visualizations of classification decisions. keras.io/examples/visio…
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The model card has some more interesting info too: github.com/meta-llama/lla… Note that Llama 3 8B is actually somewhere in the territory of Llama 2 70B, depending on where you look. This might seem confusing at first but note that the former was trained for 15T tokens, while the…
We just released Meta Llama 3: the most capable openly available LLM available to date! The 8B & 70B models are out now, and we expect to release models with larger context windows, additional model sizes and more capabilities in the coming months.
Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3…
Meta released Llama 3 on my birthday! 🎂 Best present ever, thanks Meta! 😀
Congrats to @AIatMeta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching…
Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3…
Big kudos also to the researchers that created the methods our work built upon, e.g., @mcaron31 @armandjoulin @HugoTouvron @p_bojanowski Maxime Oquab @TimDarcet @jensenzhoujh and many others!
It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…
Congrats to the entire @Meta team, including @Ahmad_Al_Dahle @manohar_paluri @dkm2110 @HugoTouvron @ThomasScialom Angela Fan @finkd @_chriscox @ylecun @ragavan and many other great folks! Llama3 looks amazing, and the 400B looks even more exciting :)
It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…
YES. Thanks Andrej. To this date still, way Way WAY too many people doing DL are way Way WAY too careless. I think each small DL team needs at least two people who are obsessed with detail. But the team shouldn't be composed of solely such people either, or it'll go nowhere.
Beautiful work / attention to detail trying to get Gemma to finetune correctly. There are so many foot guns here to be super careful with. All of these issues don't throw any errors, they silently make your network worse. A great example of what I wrote about in my "A Recipe for…
@eladgil @patrickc In AI at least, the real 30 under 30 imo you have never heard of. They are 5 layers down the org chart from the CEO. They are usually not on Twitter, they have an unmaintained LinkedIn, they don’t go on podcasts, and they maybe published at one point but don’t do so anymore. They…
@geoffreyhinton I'd like to respectfully point out that the logic in this argument is based on a flawed model for how scientists think. Scientists don't just take a weighted average of others' opinions to form their own. A good scientist takes as input lots of data, including others' opinions,…
Code Llama with @huggingface🤗 Yesterday, @metaai released Code Llama, a family of open-access code LLMs! Today, we release the integration in the Hugging Face ecosystem🔥 Models: 👉 huggingface.co/codellama blog post: 👉 hf.co/blog/codellama Blog post covers how to use it!
@Noahpinion No. The research arm of Bell Labs was never about moonshots. It was about hiring the best scientists into small departments (typically 5 to 15 people) and giving them resources and a *lot* of freedom to work on what *they* deemed most promising. That's how you get breakthroughs.
One thing I love about open access LLMs is that you can play with the system prompt as you wish – no need for hacks. So we released 2 additional Llama 2 demos that allow you to change all parameters, including the prompt: 7B: hf.co/spaces/hugging… 13B: hf.co/spaces/hugging…
This is another one of those ill-thought, fear-mongering scientific disinformation about LLMs, and I will explain why in this long thread. 🧶
I flip-flop on how bad releasing model weights is, but what is clear to me is that we're in a honeymoon period before something bad happens like mass social manipulation and surely Meta is gonna regret making "we let anyone use our great models for anything" a selling point.
@ThomasScialom @metaai @HugoTouvron Thanks 🙏 & congrats to you, colleagues & mngmt at Meta for releasing this innovation catalyst 🦙😊.
🧵1/ Exciting news! We've just released a major update for LLaVA, our open-source large multimodal model, with support for LLaMA-2, LoRA training with academia GPUs, higher resolution (336x336), 4-/8- inference, and more! 🚀🌋
@sharan0909 @CalvinHolloway6 @metaai +++, to avoid confusion I think "Llama 2" should imo always be assumed to refer to 70B model, when it's not it should be explicitly disambiguated, e.g. Llama2-7B.
@abursuc @HugoTouvron Hahaha yes Hugo has been on fire for a few years now!
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