Latest Hugging Face News & Updates
See the latest news and media coverage for Hugging Face. We track all announcements, press releases, and industry mentions in real time, all in one place.
Machine learning collaboration platform
huggingface.co- Headquarters
- United States
- Founded year
- 2016
- Company type
- Private company
- Number of employees
- 50–800
Latest news about Hugging Face
Company announcements
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Hugging Face analyzes rising costs of AI evaluations
AI evals for agents and training exceed compute budgets, creating barriers. Compression works less on complex benchmarks. Sharing data reduces duplication.
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Hugging Face publishes Granite 4.1 LLMs technical walkthrough
Details multi-stage pre-training on 15T tokens, SFT on 4.1M samples, RL pipeline, and benchmarks outperforming prior models. Released under Apache 2.0.
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Hugging Face adds DeepInfra as Inference Provider
DeepInfra enhances serverless inference on Hub with cost-effective LLMs like DeepSeek V4. Supports integration via SDKs and agent harnesses.
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Hugging Face introduces NVIDIA Nemotron 3 Nano Omni
This omni-modal model excels in document analysis, speech recognition, audio-video understanding, agentic use, and multimodal reasoning. It leads benchmarks and offers high efficiency. Checkpoints available on Hugging Face.
Media coverage
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Hugging Face, ClawHub Abused for Malware Distribution
Threat actors are abusing Hugging Face and ClawHub to distribute malware by injecting indirect prompts into malicious files.
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Critical Unpatched Flaw Leaves Hugging Face LeRobot Open to Unauthenticated RCE
CVE-2026-25874 (CVSS 9.3) in LeRobot 0.4.3 allows unauthenticated RCE via pickle over gRPC, risking AI systems and sensitive data.
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Hackers exploit Marimo flaw to deploy NKAbuse malware from Hugging Face
Hackers are exploiting a critical vulnerability in Marimo reactive Python notebook to deploy a new variant of NKAbuse malware hosted on Hugging Face Spaces. Attacks...
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Hugging Face Launches Gemma-4-21B-REAP Model | Phemex News
Hugging Face releases Gemma-4-21B-REAP model with strong reasoning performance, requiring 12GB VRAM for limited context and 16GB for full context.
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