#huggingface

Explore how the “Drifting” method trains Turkish TTS models on an RTX 5090 GPU, its live Hugging Face demo, and mixed user feedback on fluency and naturalness.

EngramEdit lets you update LLM facts instantly—no full retrain needed—while keeping all other knowledge intact and boosting editing accuracy nearly three‑fold.

Explore the rise of ultra‑small LLMs like MacroStories and the niche 3‑B d1‑3B model—discover how parameter efficiency is reshaping AI deployment on CPUs and low‑resource systems.

Bev: a Qwen3.5-9B model that purposefully picks wrong answers with 96% confidence, designed to test AI safety pipelines for confidently incorrect behavior.

Discover how GLM‑5.3 Flash is revolutionizing large‑scale software engineering with speed, low cost, and open‑weight flexibility for developers.

Microsoft GPT‑6.1 Sol model architecture reveals two‑pass inference, boosting speed—unverified Reddit claims spark AI speculations and regulatory scrutiny.

Run 300B‑class MoE models on a single mini‑PC with Kyojin, the new inference engine that delivers 580 tok/s prefill on AMD Strix Halo and 650 tok/s on Ryzen AI Max+ 395.

Discover how llama.cpp’s new decision models shift AI from generative text to precise classification, boosting safety guardrails and task automation.

Discover Qwen3.8‑27B‑Humanlike‑Chat 2.0: improved instruction following, tool calls, and higher “human‑like” scores – a game‑changing LoRA upgrade for open‑source AI developers.

Discover Bilibili’s Index‑Translate LLM suite – 150‑language text, doc, video translation with custom terminology and dubbing precision, open‑source on GitHub.