Hugging Face Blog

Exploring Quantization Backends in Diffusers

Exploring Quantization Backends in Diffusers

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Microsoft and Hugging Face expand collaboration

Microsoft and Hugging Face expand collaboration

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Falcon-Edge: A series of powerful, universal, fine-tunable 1.58bit language models.

Falcon-Edge: A series of powerful, universal, fine...

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The Transformers Library: standardizing model definitions

The Transformers Library: standardizing model defi...

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Improving Hugging Face Model Access for Kaggle Users

Improving Hugging Face Model Access for Kaggle Use...

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Blazingly fast whisper transcriptions with Inference Endpoints

Blazingly fast whisper transcriptions with Inferen...

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Vision Language Models (Better, faster, stronger)

Vision Language Models (Better, faster, stronger)

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LeRobot Community Datasets: The “ImageNet” of Robotics — When and How?

LeRobot Community Datasets: The “ImageNet” of Robo...

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The 4 Things Qwen-3’s Chat Template Teaches Us

The 4 Things Qwen-3’s Chat Template Teaches Us

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How to Build an MCP Server with Gradio

How to Build an MCP Server with Gradio

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Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs

Introducing AutoRound: Intel’s Advanced Quantizati...

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Welcoming Llama Guard 4 on Hugging Face Hub

Welcoming Llama Guard 4 on Hugging Face Hub

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PipelineRL

PipelineRL

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Tiny Agents: an MCP-powered agent in 50 lines of code

Tiny Agents: an MCP-powered agent in 50 lines of c...

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Finetuning olmOCR to be a faithful OCR-Engine

Finetuning olmOCR to be a faithful OCR-Engine

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Prefill and Decode for Concurrent Requests - Optimizing LLM Performance

Prefill and Decode for Concurrent Requests - Optim...

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Introducing HELMET: Holistically Evaluating Long-context Language Models

Introducing HELMET: Holistically Evaluating Long-c...

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Cohere on Hugging Face Inference Providers 🔥

Cohere on Hugging Face Inference Providers 🔥

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