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HuggingFace Blog news

The latest AI and developer news from HuggingFace Blog, with short summaries.

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TRL v1.14 Adds LoRA Async GRPO Support Without NCCL

TRL v1.14 introduces Async GRPO functionality that synchronizes LoRA adapters using storage buckets and proxies instead of NCCL.

·2026.09.10 09:00

Gradio Releases Workflow1111, Replicating Key A1111 Features

Gradio has released 'Workflow1111', which replicates the key features of AUTOMATIC1111 in a single workflow canvas.

·2026.09.10 09:00

IBM Releases Open-Source Time Series Model PatchTST-FM-r2

IBM has released Granite PatchTST-FM-r2, a time series foundation model licensed under Apache 2.0.

·2026.09.10 00:00

Multiverse Computing Reveals Safety Boundary Control Technique to Reduce LLM Over-Refusal

Multiverse Computing reduced over-refusal from 74% to 4% using a 'Narrow-boundary safety' technique that refuses only specific subsets rather than entire topics.

·2026.09.08 23:00

NeoMME Releases Single Encoder

NeoMME, a multilingual multimodal encoder that processes text and images with a single Transformer without a vision tower, has been released.

·2026.09.03 22:00

Hugging Face Releases 'funes', a Local Memory Layer for Coding Agents

Hugging Face has released 'funes', a local open-source memory tool that preserves cross-session reasoning for coding agents like Claude Code.

·2026.09.03 09:00

Training a Coding Model to Paint Watercolors Using TRL and OpenEnv

An open-source reproduction project has been released for a watercolor-generating coding model trained with human aesthetic preferences as the reward function, utilizing TRL and OpenEnv.

·2026.09.03 09:00

IBM and Confluent Release Real-Time Time-Series AI Model

IBM and Confluent have released the IBM Granite time-series foundation model in Early Access, operating within real-time streaming environments based on Apache Flink.

·2026.09.02 22:00

AI2 Releases Benchmark Analysis Method

AI2 has released BenchMIRT, a multidimensional IRT-based tool that analyzes which specific capabilities individual questions in LLM benchmarks actually measure.

·2026.09.02 06:00

Hugging Face Releases WebGPU Kernels

Hugging Face has released 207 optimized WebGPU kernels and a loader library to enhance in-browser AI inference performance.

·2026.09.01 09:00

GLM-5.3 Open Weights Released

Z.ai released the GLM-5.3 open-weight model, featuring a 50% improvement in coding performance over GLM-5.2 and enhanced cybersecurity capabilities.

·2026.08.29 04:00

HF Introduces Hindi ASR Evaluation

Hugging Face has released Monsoon, a speech recognition evaluation dataset for Hindi and Indian English, to support Global South languages.

·2026.08.28 09:00

Sentence Transformers v6.0 Adds Support for Multi-Vector Training

Sentence Transformers v6.0 introduces multi-vector model training capabilities, significantly improving domain-specific search performance.

·2026.08.26 09:00

IBM Releases Granite 4.2 Reasoning LLMs

IBM has released three Granite 4.2 reasoning LLMs featuring 512K context and agentic RL.

·2026.08.26 00:00

4-bit LLMs Surpass Original Model Performance

The QAH technique is released, recovering performance higher than the original model after structural compression and 4-bit quantization.

·2026.08.25 20:00

Gradio Releases gr.Workflow Feature

Gradio has launched the gr.Workflow feature, which supports building visual node-based AI pipelines and deploying APIs.

·2026.08.25 09:00

Building Hybrid Search on HF Infrastructure for Papers with Code

Revealed the architecture and design decisions for building Papers with Code's hybrid search system using Hugging Face infrastructure.

·2026.08.21 09:00

ASR Models Memorize Benchmark Answers

A study quantifies the phenomenon of ASR models inflating scores by learning benchmark patterns rather than actual speech.

·2026.08.21 09:00

LFM2.5 Inference Accelerated 3.2x with DSpark

Applying DSpark speculative decoding to LFM2.5 models improves GPU and on-device inference speed by up to 3.2x.

·2026.08.21 01:00

Liquid AI Releases LFM2.5 Q4_0

Liquid AI has released the LFM2.5 Q4_0 models, which minimize quality degradation through Quantization-Aware Distillation (QAD).

·2026.08.19 22:00