Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Photorealistic Times Square at sunset completely overtaken by HuggingFace branding, massive billboards showing AI model cards and datasets in orange and yellow, giant glowing hugging face emoji mascots on buildings, diverse crowd of developers with laptops looking up at screens, warm golden light, vibrant community energy, NYC architectural detail.
The gdpval dataset from @OpenAI is number one trending on @huggingface this week! https://x.com/ClementDelangue/status/1972640079559749632
Tejal Patwardhan on X: “Understanding the capabilities of AI models is important to me. To forecast how AI models might affect labor, we need methods to measure their real-world work abilities. That’s why we created GDPval. https://t.co/YsQvmdGK94” / X
https://x.com/tejalpatwardhan/status/1971249532588741058
In real-world development scenarios, GLM-4.6 surpasses GLM-4.5 and reaches near-parity with Claude Sonnet 4, while clearly outperforming other open-source baselines. https://x.com/Zai_org/status/1973034644091392002
GLM-4.6 is out on Hugging Face Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better https://x.com/_akhaliq/status/1973068098539593932
Ovi is out on Hugging Face Twin Backbone Cross-Modal Fusion for Audio-Video Generation Ovi is a veo-3 like, video+audio generation model that simultaneously generates both video and audio content from text or text+image inputs. Video+Audio Generation: Generate synchronized https://x.com/_akhaliq/status/1974181920092418128
LFM2-Audio just dropped! It’s a 1.5B model that understands and generates both text and audio Inference 10x faster + quality on par with models 10x larger Available today on @huggingface and our playground 🥳 https://x.com/maximelabonne/status/1973372579441496514
IBM is back! They just joined Hugging Face Enterprise & released Granite 4.0 in open-source with a new hybrid Mamba/transformer architecture that reduces memory requirements without reducing accuracy much. This set of models is great for agentic workflows like tool calling, https://x.com/ClementDelangue/status/1973798540389355903
deepseek-ai/DeepSeek-V3.2-Exp · Hugging Face https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp
Huawei Research just unveiled SINQ on Hugging Face A novel, calibration-free quantization technique that enables state-of-the-art LLM performance while drastically reducing memory usage. https://x.com/HuggingPapers/status/1973906002001936577
Welcome to TimesFM 2.5, a pre-trained model for times-series forecasting, which performs great in zero-shot out-of-the-box – 200M params (down from 500M) – 16k context (up from 2k) – Available on Hugging Face – Apache 2.0 Happy Monday! https://x.com/osanseviero/status/1972609699007910071
access any model on @huggingface directly with AI SDK https://x.com/nishimiya/status/1973032330479669462
jinaai/jina-reranker-v3 · Listwise Document Reranker for SOTA Multilingual Retrieval Hugging Face https://huggingface.co/jinaai/jina-reranker-v3
🦾Great📷 milestone for open-source robotics: pi0 & pi0.5 by @physical_int are now on @huggingface, fully ported to PyTorch in @LeRobotHF and validated side-by-side with OpenPI for everyone to experiment with, fine-tune & deploy in their robots! As described by Physical https://x.com/ClementDelangue/status/1974094115743711702
