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.
Apple released JACCL, an open-source collective communication library for distributed AI training over Thunderbolt 5, at WWDC 2026. The library enables clustering 2–4 Macs with 50–60 Gbps bandwidth an…
A developer built a web tool that checks a user's hardware in the browser, pulls model info from Hugging Face, estimates memory requirements, and returns a simple yes/no/maybe answer about whether a g…
OnePointFive is hiring a contract AI/ML Systems Engineer for 3-4 weeks to build an edge vs cloud inference testing suite, measuring energy and emissions across multi-modal AI workloads. The role invol…
A user requests Hugging Face to add Convence/ParseEmbed as an official benchmark on the Hub. ParseEmbed is a retrieval benchmark for embedding models that tests parse-sensitive meaning under hard nega…
Inference engineering, the discipline of optimizing AI model performance in production, has expanded from frontier AI labs to a broad specialty as open models like DeepSeek V3 narrow the gap with clos…
Cohere released North Mini Code, a 30-billion-parameter open-source coding agent with a Mixture-of-Experts architecture that activates only 3 billion parameters per token, enabling it to outperform mo…
Researchers at Hugging Face debate whether large language models can lose conceptual continuity while remaining coherent, proposing falsification-first controls to distinguish genuine architectural ga…
A coalition of 42 state attorneys general, led by New York's Letitia James, subpoenaed OpenAI for records on advertising, user retention, personal and health data, and how ChatGPT treats minors and se…
A developer built a multi-agent AI system called 'The Price Is Right' that autonomously scans the internet for bargains, estimates product value using three pricing techniques, and sends notifications…
A user is unable to download the 'garrying/VMD-D' dataset from Hugging Face despite authorizing with a token; the loading code produces no response.…
A user asks if Hugging Face plans to support European cloud providers for training and inference endpoints, citing growing client demand for European infrastructure while preferring Hugging Face's too…
Chinese AI labs are aggressively releasing open-source models, contrasting with the closed-source approach of U.S. pioneers like OpenAI and Anthropic, according to Tiezhen Wang, former head of the Asi…
Swiss AI researchers released the Apertus Mini collection, 16 small language models distilled from the Apertus v1 8B model, available in 0.5B, 1.5B, and 4B parameter sizes with multiple quantization l…
A former EMS worker with a traumatic brain injury accuses the entire AI industry of abandoning its safety mission, claiming repeated attempts to present alignment concerns to organizations like LessWr…
A LEGO-style LoRA for Wan2.1 14B T2V, released on Hugging Face as Remade-AI/Lego, offers the most direct open-source route for generating LEGO-style video, though it requires a heavy base model and do…
A developer built Lease Lens, a 3B-parameter contract risk scanner that runs entirely without an external LLM API, for the Hugging Face Build Small Hackathon. The fine-tuned Llama 3.2 3B model achieve…
Developer Bidram benchmarked the GemCod-R-Sapphire-270M code agent against the base Gemma 3 270M model and found it underperformed, with only 2 correct out of 13 MBPP-style tasks versus 3 for the base…
Moonshot AI released Kimi K2.7-Code, an open-weight 1 trillion parameter Mixture-of-Experts model that achieves 81.1% on MCPMark Verified, surpassing Claude Opus 4.8's 76.4% on tool-use tasks. The mod…
Mlx-optiq, a new open-source tool, enables per-layer mixed-precision quantization of large language models on Apple Silicon, allowing users to run, fine-tune, and serve LLMs locally on Macs without a …
Slopsome.com launched a free VRAM fit-calculator and real tokens-per-second database for local LLMs, enabling users to check if a model runs on specific GPUs with given quantization and context length…