AI Open Source
Open source AI ecosystem and community
Articles
Run a vLLM Server on HF Jobs in One Command⭐10
Deploy a vLLM inference server on Hugging Face Jobs in one command—no manual setup needed. Full guide for scalable LLM serving.
Which Tokens Does a Hybrid Model Predict Better?⭐9
Hybrid models excel at predicting rare, domain-specific tokens and structured data (numbers, code), improving accuracy by up to 15% versus dense models.
Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World⭐8
Introducing FFASR Leaderboard: a realistic far-field ASR benchmark evaluating models in noisy, reverberant conditions. Compare WER scores, submit systems,
Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel⭐8
Accelerate transformer fine-tuning with NVIDIA NeMo AutoModel. Cut training time from days to hours using mixed precision and scalable GPU infrastructure.
Build Real Agentic Apps Using CUGA: Two Dozen Working Examples⭐9
Build 24 real agentic apps with CUGA's lightweight harness, from basic chatbots to multi-agent coordination and memory-augmented systems.
Shipping huggingface_hub Every Week with AI, Open Tools, and a⭐8
HuggingFace_hub now ships weekly using AI automation, open-source tools, and human review for fast, reliable releases. Learn how this hybrid approach speeds up ...
PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M⭐8
PP-OCRv6 on Hugging Face supports 50 languages via scalable 1.5M–34.5M parameter models for efficient OCR. Try the online demo.
MosaicLeaks: Can Your Research Agent Keep a Secret?⭐9
MosaicLeaks exposes a privacy flaw in AI research agents, allowing attackers to combine harmless queries to reconstruct sensitive data from HR, finance, and hea...
Is It Agentic Enough? Benchmarking Open Models on Your Own Tooling⭐9
Benchmark open models on custom tooling to evaluate real agentic abilities like task decomposition, tool use, and error recovery.
Beyond LoRA: Can You Beat the Most Popular Fine-Tuning Technique?⭐9
Can new fine-tuning methods outperform LoRA in 2026? This benchmark compares DoRA, Delta-LoRA, and prompt-based alternatives for performance, memory, and speed.