Hugging Face is a company and platform built around machine learning — most famously the opensource library 🤗 Transformers, which has become the de facto stand ...

Reflection released the weights for Beam, its first open-weight model, on Hugging Face under an Apache 2.0 license on October ...

The method converts pre-trained transformers into elastic models that adapt continuously to varying computational budgets by ...

The first check into Hugging Face came from an investor who didn't back the product he initially saw. Matt Hartman, founder of Factorial ...

Liquid AI’s LFM2.5-24B-A2B is an open-weight 24B MoE reasoning model with 2B active parameters for fast on-device agents.

Liquid AI released LFM2.5-24B-A2B on October 13, 2026, an open-weight 24B-parameter reasoning model with 2B active parameters ...

Learning AI as a technical discipline usually involves more than understanding how a model works. A useful skill set now ...

Cantina Security's apex-flash-1 is an MIT-licensed 321B security model scoring 66.7% pass@1 at 31x lower cost than Opus.

Hugging Face — крупнейшая платформа с нейросетями и ML-моделями. Разбираем, что это, как зарегистрироваться, найти модель и начать с ней работать.

Hugging FaceでローカルLLMを探すと、「Qwen3.8-27B-Q4_K_M.gguf」のような英数字の羅列に戸惑うだろう。実はモデル名には、規模や世代、圧縮の度合い、ファイル形式といった情報が詰まっている。Qwenシリーズを例に、名前の読み方からPCのメモリに合ったモデルの選び方までを解説する。

A patched Unsloth Studio flaw allowed malicious Hugging Face models to execute Python code when selected in the browser.

Engineers who want to train Hugging Face models for their own use cases using SFT or RL, but have started to feel the ...