#huggingface
The latest AI and developer news about #huggingface, with the original source and a short summary.
The latest AI and developer news about #huggingface, with the original source and a short summary.
OpenAI released the Privacy Filter open-weight model under Apache 2.0.
A single checkpoint switches among 8 presets, delivering up to 10.7x faster performance.
IBM has released Granite-4.1-8B, enhancing tool calling and instruction-following performance.
Unsloth has released a GGUF distribution of Kimi K2.6 along with related documentation.
A Chrome extension that runs Gemma 4 on-device inside the browser.
An abliteration version targeting the MoE characteristics of Qwen3.6-35B-A3B has been uploaded to HF.
ParseBench is a benchmark that evaluates parser accuracy on your own documents using 5 metrics.
VAKRA exposes agent reasoning failures in enterprise-style API and document tasks.
GRaPE 2 was released in two models, 5B and 9B, emphasizing agentic reasoning.
Added 8 Indian languages to Chatterbox-Multilingual using only LoRA and tokenizer expansion.
KIV aims for a 1M token context window on an RTX 4070 12GB without retraining.
Waypoint-1.5 extends real-time world models for consumer GPUs with 720p/60FPS and 360p tiers.
Safetensors joins the PyTorch Foundation, signaling core PyTorch integration and a new roadmap.
IBM Granite 4.0 3B Vision has been released as a VLM for chart, table, and KVP extraction.
Transformers.js v4 introduces a WebGPU backend, enabling high-performance AI model execution in both browser and server environments.
Hugging Face has officially launched version 1.0 of TRL, its post-training library, strengthening stability and scalability.
In response to Anthropic's restrictions on Claude access, this explains how to switch OpenClaw agents to open models.
Hugging Face analyzed the rapid growth and key trends of the open source AI ecosystem as of spring 2026.
An analysis of the design patterns and technical differences among 16 open-source libraries aimed at improving the efficiency of Asynchronous RL.
Hugging Face has launched S3-style Storage Buckets that let you efficiently manage checkpoints and intermediate data.
Hugging Face's LeRobot v0.5.0 has announced a major update including Unitree G1 humanoid support and new VLA policies.
Hugging Face has integrated Ulysses Sequence Parallelism, which supports long-context training of over a million tokens, into its major libraries.
Modular Diffusers has been unveiled, allowing diffusion model pipelines to be assembled from reusable blocks.
This explains the principles and advantages of the MoE (Mixture of Experts) structure, which maximizes the computational efficiency of Transformers.