Hugging Face

On September 4th, YVD announced that it would buy $12.93 billion from the AI Developer Platform. Reuters reported that the deal would help Young Weidar move further into the open model ecology and directly connect the developers to a platform for sharing, testing and deploying AI tools. Young Weida CEO Wong In-hoon stated that Hugging Face would continue to be open to the entire AI ecology, supporting open source and open weight models, as well as cloudy and multiaccelerator deployments. Developers can still choose models, frames, cloud services, reasoning..

On August 31st, it appears that many people want a robot duck about 10 inches tall. On Friday, local time, Thomas Wolf, co-founder of Hugging Face, wrote on X that, within the first 24 hours of Microduck ' s listing, the consumer ' s order had exceeded US$ 2.6 million (note: the current exchange rate is approximately RMB 17,539,000). Just Thursday, about six hours after the product was released, Wolf revealed that Microduck..

On August 28th, according to The Information, Weeda has agreed to purchase the Open Source AI Model and Dataset Platform Hugging Face for $12.9 billion. Young Wida and Hugging Face remain unanswered; if the deal is completed, it will be one of the largest acquisitions in history. Hugging Face hosts open source models, data sets and tools for developers. The report mentions that the platform currently earns approximately $150 million annually. In Weida was part of it in 2023..

According to news from Business Insider today, on August 27, Yvesda has been negotiating the acquisition of Hugging Face, which could lead to one of the largest deals to date. According to an informed source, in recent weeks there has been a serious discussion on the acquisition deal, which will put the Hugging Face value at over $13 billion (note: the current exchange rate is approximately RMB 87,592 million). According to the source, the two companies had not yet reached an agreement and there was still a risk that the negotiations would break down. Hugging..

On August 17, according to Ari Baba, the cumulative number of downloads from the model family on various platforms over the past six months has exceeded 3 billion. According to the latest statistics of Hugging Face, the platform was downloaded about 2,045 million times during the same period, up from about 418 million in Google and about 227 million in Meta. More than 460 models have been made public and a large number of community fine-tuning versions have been derived. Hugging Face's open source model report also lists thousands of questions as the leading family in the number of derivative models..

On August 4th, Hugging Face Chief Executive Officer Clément Delange spoke recently about Open-weight AI and warned the United States that China was taking the lead in the AI competition. On Monday, in an interview with the CNBC Squawk on the Street, Drago argued that China was leading the AI competition because it was more open to open science and open models than the United States. Lord..

On July 27, OpenAI stated on July 21 that its internal AI model broke through the sandbox environment during the testing and invaded the infrastructure of the Open Source AI Platform Hugging Face. Hugging Face CEO Clemente Durange then went to San Francisco to meet with OpenAI and made two requests: to disclose all traces of the model ' s operation, and to provide $100 million in computing resources to help Hugging Face strengthen cybersecurity. Drago was in San Francisco..

On January 30th, according to the British Financial Times, at the end of last year, when the chip giant, Yvette, threw a $500 million investment offer to Hugging Face, the AI start-up company made an unexpected decision - to refuse. According to well-informed sources, the transaction could have pushed the Hugging Face valuation to $7 billion, more than its total financing over the past decade. However, the company chose to say “no”. Hugging Face on the other hand, doesn't want a single lead..

According to the news of November 19, TechCrunch today, the co-founder and CEO of Hugging Face, Clem Delange, raised the point at the Axios BFFD event that there is no so-called "AI" foam, but rather a "large-language model bubble" and that this bubble may break down before long. Foams say hundreds of billions of dollars today, but even if the bubble breaks, the future of AI is not threatened. According to Clem Delangue, currently..

TechCrunch (May 29) published a blog post reporting that AI development platform Hugging Face has made a further foray into robotics with the launch of its latest open-source humanoid robots, HopeJR and Reachy Mini. HopeJR is a full-sized robot with 66 degrees of freedom, capable of walking, waving its arms, and other complex movements. HopeJR is a full-sized robot with 66 degrees of freedom, capable of walking, waving its arms, and other complex movements, while Reachy Mini is a smaller, desktop robot...

May 8 news, technology media analyticsindiamag yesterday (May 7) released a blog post, reported that Hugging Face launched a free cloud-based AI intelligent body tool Open Computer Agent, support for users through text commands to remotely manipulate Linux-based virtual computers, the use of Firefox and other applications. 1AI cited the blog post as introducing the Open Computer Agent tool, which integrates smolagents, Qwen2...

April 15 (Bloomberg) -- Artificial intelligence development platform Hugging Face has announced the acquisition of France-based humanoid robotics startup Pollen Robotics in an undisclosed deal. Hugging Face plans to sell Pollen's humanoid robot, Reachy 2, and allow developers to download and suggest improvements to its code, according to Wired magazine. Pollen Robotics was founded by Matthieu Lapeyre and Pierre Rouin...

March 20, 2010 - Hugging Face has launched its latest iOS app, HuggingSnap, which allows users to ask AI to generate visual descriptions directly on the device side without relying on cloud servers. The app is based on the lightweight multimodal model smolVLM2 (with parameter sizes ranging from 256 million to 2.2 billion), which performs all calculations locally and avoids the need to upload data to the cloud to ensure privacy. Optimized for mobile devices, smolVLM2 efficiently handles graphical tasks (e.g., image/video analysis) but is slightly less accurate than the cloud...

Feb. 24 - Clement Delangue, co-founder and CEO of Hugging Face, a community for AI big models, announced in a post early this morning that DeepSeek-R1 has received more than 10,000 likes on Hugging Face, making it the most popular big model out of nearly 1.5 million models on the platform. "It's astounding!" Late last month, Hugging Face also announced the Open-R1 project, which plans to fill the DeepSeek R1 un...

It's been about a week since DeepSeek released R1, an open-source inference model that competes with OpenAI o1, generating global attention. Now, Hugging Face, a community of big AI models, has announced the Open-R1 project, which plans to fill in some of the components of DeepSeek's R1 that are not open-source, adding "more fuel to the fire" of this global craze. According to Hugging Face, while the weights used by DeepSeek are known, the datasets and code used to train the models are...

January 24, 2011 - Technology media NeoWin published a blog post yesterday (January 23) reporting that Microsoft plans to deploy Copilot Chat for Outlook and Copilot Chat for Teams online starting in February 2025, which will bring a new Copilot Chat experience and provide easier access. Citing Microsoft's updated Microsoft 365 roadmap, 1AI attached the information as follows:Late January 2025...

The Hugging Face platform published a blog post yesterday (November 26) announcing the launch of the SmolVLM AI visual language model (VLM), with just 2 billion parameters for device-side reasoning, which stands out from its peers by virtue of its extremely low memory footprint. Officials say the SmolVLM AI model benefits from being small, fast, memory efficient, and completely open source, with all model checkpoints, VLM datasets, training recipes, and tools released under the Apache 2.0 license. SmolVLM AI ...

Recently, Runway suddenly and secretly deleted its code base from the Hugging Face platform, including the highly anticipated Stable Diffusion v1.5 project, which caused quite a stir in the technology community. Runway's behavior not only left no trace, but also did not notify Hugging Face or any community members. Even more shocking is that even the page on GitHub has become empty. This sudden change has undoubtedly caused trouble for developers and researchers who rely on these resources. ht…

Recently, Hugging Face, a well-known AI development platform, announced the acquisition of XetHub, a data storage and collaboration startup founded by former Apple engineers. This move will undoubtedly bring more convenience to AI developers and accelerate the democratization of artificial intelligence! The story of XetHub began in 2021 and was co-founded by former Apple engineers Yucheng Low, Rajat Arya, and Ajit Banerjee. This dynamic team, with the vision of simplifying the process of building machine learning and AI applications, quickly gained industry recognition…

Recently, the open source platform Hugging Face and NVIDIA announced an exciting new service, Inference-as-a-Service, which will be driven by NVIDIA's NIM technology. The launch of the new service allows developers to prototype more quickly, use open source AI models provided on the Hugging Face Hub, and deploy them efficiently. The news was announced at the ongoing SIGGRAPH2024 conference. This…

Nowadays, small language models are becoming more popular, and many manufacturers have begun to launch "small models" suitable for lightweight devices such as mobile phones. This week, Hugging Face announced the "SmolLM" small language model family, which includes 135 million, 360 million and 1.7 billion parameter models. According to reports, these models are said to be trained with carefully planned high-quality training data sets and are said to be quite powerful in Python programming performance. The team pointed out that they focused on optimizing the amount of RAM required by the model, "even on an iPhone with 6GB RAM...

Recently, Hugging Face launched a new AI tool - SmolLM. This is a series of high-performance small language models with parameters ranging from 135M to 1.7B, designed specifically for various devices and applications. Imagine that these small models can run efficiently on mobile phones and laptops, which is really cool! The characteristics of SmolLM models are small and powerful. They can still perform well with less computing resources and help users protect privacy. Hugging Face uses a tool called SmolLM-Corp when training these models...

According to The decoder report on Thursday, Clément Delangue, CEO of the open source AI community Hugging Face, said in an interview mid-month that more and more AI startup founders want to sell their companies, which may indicate that the AI market is about to see consolidation. On June 13, Hugging Face announced that it would acquire a small company called Argilla for $10 million (currently about RMB 72.819 million)…

Hugging Face, the world's largest open source AI community, reported a security vulnerability on May 31. Its team detected unauthorized access to its Spaces platform, which may have led to the leakage of some user keys. Hugging Face is one of the world's largest artificial intelligence and data science project collaboration platforms, with more than one million models, data sets, and artificial intelligence-driven applications. A Hugging Face spokesperson said in a statement: "In the past few months, we have seen network...