Hugging Face

Hugging Face (Twitter) RT @victormustar: another open source win: opencode + GLM 4.6 is basically Claude Code (used it all day) but insanely cheap + better TUI. And you can use it with your Hugging Face token now 🔥https://twitter.com/victormustar/status/1935285458394583356#m

Hugging Face (Twitter) RT @ClementDelangue: 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, document analysis, RAG, especially in an enterprise setup 🚀 The "Micro" (3.4B) model can even run 100% locally in your browser on WebGPU, powered by 🤗 TransformersJS! 3B dense hybrid: https://huggingface.co/ibm-granite/granite-4.0-micro 3B MoE with 1B active: https://huggingface.co/ibm-granite/granite-4.0-h-small-base 32B MoE with 9B active: https://huggingface.co/ibm-granite/granite-4.0-h-small 🗂️ Full Model collection: https://huggingface.co/collections/ibm-granite/granite-40-language-models-6811a18b820ef362d9e5a82c 🔗 In-browser demo: https://huggingface.co/spaces/ibm-granite/Granite-4.0-WebGPU

Hugging Face (Twitter) RT @ArtificialAnlys: IBM has launched Granite 4.0 - a new family of open weights language models ranging in size from 3B to 32B. Artificial Analysis was provided pre-release access, and our benchmarking shows Granite 4.0 H Small (32B/9B total/active parameters) scoring an Intelligence Index of 23, with a particular strength in token efficiency Today IBM released four new models: Granite 4.0 H Small (32B/9B total/active parameters), Granite 4.0 H Tiny (7B/1B), Granite 4.0 H Micro (3B/3B) and Granite 4.0 Micro (3B/3B). We evaluated Granite 4.0 Small (in non-reasoning mode) and Granite 4.0 Micro using the Artificial Analysis Intelligence Index. Granite 4.0 models combine a small amount of standard transformer-style attention layers with a majority of Mamba layers which claims to reduce memory requirements without impacting performance Key benchmarking takeaways: ➤🧠 Granite 4.0 H Small Intelligence: In non-reasoning, Granite 4.0 H Small scores 23 on the... Перейти на оригинальный пост

‌Hugging Face (Twitter) RT @toyxyz3:

Hugging Face (Twitter) RT @reach_vb: 32B-3B, Multilingual, Tool Calling, Long Context - all with Apache 2.0 license 🔥https://twitter.com/reach_vb/status/1973736685755388314#m

Hugging Face (Twitter) RT @maximelabonne: 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 🥳

Hugging Face (Twitter) RT @LysandreJik: ServiceNow-AI/Apriel-1.5-15b-Thinker running on a single GPU using `transformers serve` 🔥 great to have some very nice reasoning models that can run locally! next step, trying it on mps 👀

Hugging Face (Twitter) RT @ClementDelangue: Time to fine-tune your own models instead of relying on blackbox closed-source models! Not doing this is like building a software company and not writing your own software. In the time of reinforcement learning, it's become much easier and cheaper than it used to thanks to great open-source models & more needed than ever to start your AI learning curve, differentiate yourself, and create better products for your users and customers. Great to see @thinkymachines contributing to this trend! In my opinion, even if it's been slower to happen than we expected, long-term that's where most of the value will be. https://twitter.com/thinkymachines/status/1973447428977336578#m

Hugging Face (Twitter) RT @abidlabs: If you are a software engineer who is currently using closed models, what's the biggest obstacle to using open-source models instead?

Hugging Face (Twitter) RT @TencentHunyuan: We just hit the top of the Hugging Face trend list with two models! 🏆 🔹HunyuanImage 3.0: The largest and most powerful open-source text-to-image model to date with over 80 billion parameters. The performance is comparable to industry flagship closed-source models. 🔹Hunyuan3D-Part: This open-source part-level 3D shape generation model packing key features like P3-SAM, the industry's first native 3D part segmentation, and X-Part, which delivers SOTA controllability and shape quality. Stop waiting and start building with these powerful models—both are FREE to deploy now! Try them now: HunyuanImage 3.0: hunyuan.tencent.com/image Hunyuan3D-Part: http://3d.hunyuan.tencent.com/studio

Hugging Face (Twitter) RT @LucSGeorges: How does picklescan work? 🤓 Well first we need to understand why pickle is dangerous: at its core a pickle is a sequence of opcodes interpreted by a form of virtual machine — already sounds fishy, doesn’t it?

Hugging Face (Twitter) RT @nic_o_martin: Looks like my first day at @huggingface will mainly consist of traveling. Soon in Stockholm and ready for @nordicjs😍