Hugging Face is an AI community platform and company providing a hub for open-source machine learning models, datasets, and demo spaces. It hosts over 500,000 models and is widely used by the AI research community.
Alibaba's 1.7B parameter Qwen3-TTS voice cloning model was fine-tuned using Fully Sharded Data Parallel (FSDP) with PyTorch and Ray, demonstrating memory-efficient distributed training across 4 GPUs. …
Outgate AI released og-local, a local privacy proxy that intercepts API calls from coding agents to detect and redact personally identifiable information and secrets before they reach third-party larg…
Cohere launched North Mini Code, an open-source mixture-of-experts model with 30B total parameters and 3B active, optimized for agentic coding tasks. Released under Apache 2.0, it aims to provide deve…
Cohere AI released North Mini Code, a 30-billion-parameter open-weight mixture-of-experts model with 3 billion active parameters per token, optimized for code generation, agentic software engineering,…
Two NVIDIA DGX Spark units were clustered over a 200 GbE link to serve the Qwen3-30B-A3B-Thinking model using Ray and vLLM with tensor parallelism. The setup required pinning all transport layers to t…
PyTorch's `nn.Linear` module transposes its weight tensor before performing matrix multiplication and addition, as revealed by profiler traces showing an `aten::t` operation that only modifies tensor …
Google released DiffusionGemma, a new open-weight AI model under the Apache 2 license, available on Hugging Face. NVIDIA is hosting the model for free on its NIM cloud API, where it generated 2,409 to…
NVIDIA has optimized Google DeepMind's new DiffusionGemma model to run up to four times faster on its GeForce RTX GPUs, RTX PRO workstations, and DGX Spark systems. Unlike traditional language models …
Hugging Face hosts over 90,000 text-to-image models, but only seven are worth using in 2026 for free, high-quality image generation. The list includes FLUX.1 Schnell, which is released under the permi…
A coding agent built a 3D Paris gallery by chaining two Hugging Face Spaces — one for image generation and one for 3D reconstruction — without any human intervention in asset creation. The agent used …
Hugging Face launched a new GitHub Actions integration that allows developers to run CI jobs on Hugging Face's infrastructure instead of GitHub's default runners. The setup uses a dispatcher Space tha…
SigNoz released a new integration guide for monitoring Hugging Face AI applications using OpenTelemetry, enabling developers to export traces, logs, and metrics to the SigNoz observability platform. T…
A software engineer explores the practicalities of running large language models locally, demystifying technical jargon like parameters, quantization, and MoE to help users choose and deploy models on…
The open source community is backing OpenEnv, a tool for creating agentic execution environments, as it transitions to a committee-led governance structure with support from Meta-PyTorch, Nvidia, Hugg…
Neuracoder released neura-fa-en-1.9b, a 1.9 billion parameter bilingual model trained from scratch on Persian and English text, achieving 9 tokens per second on an Intel i7 CPU without a GPU. The mode…
Nvidia and FPT Corporation released a dataset of 900,000 synthetic personas on June 5 to help AI models understand Vietnam’s language, culture, and demographics. The Nemotron-Personas-Vietnam dataset,…
NVIDIA released Nemotron 3.5 ASR, a 600M-parameter streaming speech recognition model that transcribes 40 language-locales in real time from a single checkpoint. The model uses a cache-aware FastConfo…
A self-taught student successfully fine-tuned the open-source Qwen 2.5-7B language model into a Discord bot named Monika, using 687 in-game dialogues and QLoRA 4-bit compression on Google Colab's free…
A developer has published a guide for running Google's Gemma-4 12B instruction-tuned model on Windows Subsystem for Linux 2 (WSL2) using the llama.cpp framework. The process involves installing build …
A team of developers built Thousand Token Wood, a multi-agent economic simulation where five AI-powered woodland creatures trade goods using a 3-billion-parameter Qwen2.5-3B model. The simulation, cre…