Hugging Face is an AI community platform and company providing a hub for open-source machine learning models, datasets, and demo spaces. It hosts over 500,000 models and is widely used by the AI research community.
NVIDIA released Open-SWE-Traces, a dataset of agentic software-engineering trajectories for fine-tuning AI models. The tutorial processes the data from Hugging Face, normalizing conversations, parsing…
A Hugging Face user reported that an account named cerealpotatochipssea uploaded pornographic, gore, and Nazi content to the platform, requesting immediate deletion. The report was posted in the Site …
A new plaintext markup format called Inference Cards aims to standardize how self-hosted LLM performance claims are communicated, requiring details like model variant, quantization, hardware, inferenc…
Alibaba's Qwen team released Qwen-AgentWorld-35B-A3B, a language world model that predicts environment states rather than actions, trained on over 10 million interaction trajectories across seven agen…
Nous Research released Mixture of Agents presets as virtual models in Hermes Agent, allowing users to select multi-model workflows like any other model. The company claims its MoA presets outperform i…
A user reported that their arXiv paper was indexed on Hugging Face Papers but never appeared on the Daily Papers homepage, despite waiting several days. The user requested assistance in checking the s…
The most upvoted papers on Hugging Face on June 26, 2026, reveal three major AI trends: smarter agents, more flexible image/video generation models, and more efficient multimodal representations. Nota…
A developer at Yogreet Global advocates for prompt caching as a cost-effective alternative to fine-tuning for LLM startups, claiming up to 70% savings on API costs and 2-3x improvement in response tim…
A developer recommends Unsloth as the most cost-effective method for fine-tuning small language models in 2026, citing its ease of use and low VRAM requirements compared to the theoretically cheaper b…
Reka released CS2-10k, a large-scale dataset and rendering pipeline built from Counter-Strike 2 professional match demos, providing over 10,000 hours of egocentric video with per-frame action annotati…
Hugging Face launched a one-command method to run a vLLM server on its Jobs infrastructure, enabling users to quickly deploy models for testing, evaluation, or batch generation. The feature uses the o…
A Hugging Face forum user asked how to add someone to a Hugging Face dataset or database, but the topic was deleted by the author. The forum thread shows related discussions about pushing datasets to …
Hugging Face hosts tools designed to generate deepfake nude images of a former Trump cabinet official, sitting members of Congress, and other senior US political figures, violating the platform's own …
DeepReinforce released Ornith-1.0, an open-source family of coding models that learn their own reinforcement learning scaffolds, achieving state-of-the-art results among open models. The lineup includ…
Meta and Qualcomm have signed a multi-year deal to consolidate AI chip infrastructure, concentrating control over the digital public square in fewer hands. Qualcomm's new Dragonfly C1000 CPU will powe…
EleutherAI researcher Hailey Schoelkopf discussed the evolution of open-source AI, the distinction between open-source and open-weight models, and the importance of evaluation tools like the LM Evalua…
DeepReinforce open-sourced Ornith-1.0, a family of self-improving coding models ranging from 9B to 397B parameters, which learn to generate their own task-specific scaffolds during reinforcement learn…
Baidu released Unlimited OCR, an open-source 3-billion-parameter model that uses Reference Sliding Window Attention to parse multi-page documents in a single pass, eliminating the need for page-by-pag…
Kog released Laneformer 2B, a 2.3B-parameter coding model designed for high-speed decoding, on Hugging Face Hub. The model was trained from scratch with latency as the primary objective, achieving 45.…
Hugging Face's top-voted papers on June 25, 2026, reveal a trend of AI shifting from question-answering to world-acting models. Key papers include Qwen-AgentWorld, which uses a language world model fo…