Hugging Face

Hugging Face (Twitter) RT @Xianbao_QIAN: The new audio generation model from @acemusicAI and @StepFun_ai is mindblowing. Try it out on @huggingface : Demo: https://huggingface.co/spaces/ACE-Step/Ace-Step-v1.5 Model: https://huggingface.co/ACE-Step/Ace-Step1.5https://twitter.com/acemusicAI/status/2018731205546684678#m

Hugging Face (Twitter) RT @acemusicAI: We're releasing ACE-Step-v1.5(2B), a fast, high-quality open-source music model. It runs locally on a consumer-grade GPU, generates a full song in under 2 seconds(on an A100), supports LoRA fine-tuning, and beats SUNO on common eval metrics. GitHub: https://github.com/ace-step/ACE-Step-1.5 Key traits: Quality: beats Suno on common eval scores Speed: full song under 2s on A100 Local: ~4GB VRAM, under 10s on RTX 3090 LoRA: train your own style with a few songs License: MIT, free for commercial use Data: fully authorized plus synthetic The music AI space lacks commercial-grade open models. Many creators are forced to rely on closed-source services, and can’t fully own, run locally, or fine-tune their own models. We want to help change that.

Hugging Face (Twitter) RT @allen_ai: Since launching Open Coding Agents, it's been exciting to see how quickly the community has adopted them. Today we're releasing SERA-14B – a new 14B-parameter coding model – plus a major refresh of our open training datasets. 🧵

Hugging Face (Twitter) RT @Alibaba_Qwen: 🚀 Introducing Qwen3-Coder-Next, an open-weight LM built for coding agents & local development. What’s new: 🤖 Scaling agentic training: 800K verifiable tasks + executable envs 📈 Efficiency–Performance Tradeoff: achieves strong results on SWE-Bench Pro with 80B total params and 3B active ✨ Supports OpenClaw, Qwen Code, Claude Code, web dev, browser use, Cline, etc 🤗 Hugging Face: https://huggingface.co/collections/Qwen/qwen3-coder-next 🤖 ModelScope: https://modelscope.cn/collections/Qwen/Qwen3-Coder-Next 📝 Blog: https://qwen.ai/blog?id=qwen3-coder-next 📄 Tech report: https://github.com/QwenLM/Qwen3-Coder/blob/main/qwen3_coder_next_tech_report.pdf

Hugging Face (Twitter) RT @hcompany_ai: Holo2-235B-A22B: #1 on ScreenSpot-Pro, #1 on OSWorldG 🎯 🚀 Today, we are releasing Holo2-235B-A22B 🤗, our most capable GUI localization model yet! Holo2 now leads on all major GUI localization benchmarks: 78.5% on ScreenSpot-Pro and 79.0% on OSWorld-G!

Hugging Face (Twitter) RT @Wauplin: New in huggingface_hub: teach your AI coding assistant the hf CLI in one command $ hf skills add --claude Works with Claude Code, Codex, and @opencode . Your AI assistant now knows how to search the Hub, download models, manage repos, and more.

Hugging Face (Twitter) RT @AdinaYakup: GLM @Zai_org just entered the OCR field🔥 https://huggingface.co/zai-org/GLM-OCR ✨ 0.9B ✨ MIT licensed ✨ Multimodal GLM-V architecture ✨ #1 on OmniDocBench v1.5 (94.62)

Hugging Face (Twitter) 🤗https://twitter.com/leonliuzx/status/2018554408028791063#m

Hugging Face (Twitter) RT @StepFun_ai: ⚡️ Step 3.5 Flash is coming: Fast Enough to Think. Reliable Enough to Act！ We’re dropping our most capable open-source foundation model yet. Frontier reasoning meets extreme efficiency. It leverages a sparse Mixture of Experts (MoE) architecture, 196B total → 11B active. Key Capabilities: ✅Reasoning at Speed: MTP-3 powered throughput at 100–300 tok/s (350 tok/s peak for single-stream coding tasks). ✅Agentic Power: ⚡️ 74.4% SWE-bench Verified ⚡️ 51.0% Terminal-Bench 2.0. Proven stability for complex, long-horizon tasks. ✅256K Efficient Context: 3:1 SWA ratio + Full Attention. Massive datasets or long codebases support with minimal overhead. Consistent performance, hybrid efficiency. ✅Local-First Deployment: Optimized for Mac Studio M4 Max, NVIDIA DGX Spark. Secure, private, and frontier-capable. Your data, your hardware, your agent. You can try Step 3.5 Flash right now: 👉 OpenRouter:... Перейти на оригинальный пост

Hugging Face (Twitter) RT @mervenoyann: huge fan of IBM lately, they drop open-source agents and eval suites for solid real-world problems 👏 Dec they dropped CUGA, an agent to automate boring CRM tasks now they drop AssetOpsBench and ITBench, agentic frameworks for industry & IT domains 🙌🏻

Hugging Face (Twitter) RT @lancedb: 1/3 Lance ❤️@huggingface🤗 We’re excited to announce native support for Lance on the Hugging Face Hub! You can now share your large multimodal datasets with the world as a single, searchable artifact (including blobs, embeddings and indexes) all in one place.

Hugging Face (Twitter) RT @fepegar_: We are excited to release the weights of @MSFTResearch's COLIPRI, our 3D vision–language encoder for chest CT scans, on @huggingface🤗 Model: aka.ms/colipri Demo: aka.ms/colipri-demo Paper: aka.ms/colipri-paper Why does COLIPRI matter? 🧵0/12 👇