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HuggingFace Blog news

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

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Llama 3.1 405B Deployment on Vertex AI

A Hugging Face guide walks through deploying Llama 3.1 405B on Google Cloud Vertex AI.

·2024.08.19 09:00

Infini-Attention Experiment Results: Limits and Alternatives for Long-Context Extension

Infini-attention's performance degrades as memory compression repeats, and Ring Attention or YaRN have been confirmed as more effective alternatives for now.

·2024.08.14 09:00

Getting Started with ggml, the Foundation of Local LLMs

Introduces the features and core concepts of ggml, a low-level C/C++ library optimized for Transformer inference.

·2024.08.13 09:00

Hugging Face Releases Unified Tool Use API

Hugging Face has released a unified Tool Use API that is compatible across various model families.

·2024.08.12 09:00

TII Releases Falcon Mamba 7B Model

TII has released a 7B-scale Mamba-based model that achieves high performance without an attention mechanism.

·2024.08.12 09:00

Hugging Face Acquires XetHub

Hugging Face has acquired XetHub to optimize the management of large-scale data and models.

·2024.08.08 09:00

HuggingFace Unveils Document Image Augmentation Technique

It introduces a multimodal data augmentation technique that simultaneously transforms text and images in document images to improve VLM training efficiency.

·2024.08.06 09:00

2024 Security Feature Highlights

Hugging Face summarized key security features—including fine-grained permission tokens, 2FA, and commit signing—designed to protect Hub users' assets.

·2024.08.06 09:00

Google Releases Gemma 2 2B and Safety/Interpretability Tools

Google has released Gemma 2 2B for on-device use, the safety classifier ShieldGemma, and the interpretability tool Gemma Scope.

·2024.07.31 09:00

Diffusion Memory Optimization Based on Quanto

This presents a method for efficiently reducing the memory usage of Diffusion Transformer models by leveraging the Quanto quantization tool.

·2024.07.30 09:00

LAVE, an LLM-based VQA evaluation metric, proposed

LAVE is proposed as a metric that uses an LLM to evaluate semantic similarity instead of the existing string-matching approach.

·2024.07.25 09:00

Meta Llama 3.1 Release and Ecosystem Integration Support

Meta's Llama 3.1 model series has been released, offering 128K context and multilingual support.

·2024.07.23 09:00

Running Mistral 7B with Core ML

Introduces a method for efficiently running the Mistral 7B model on Mac by leveraging Apple's new Core ML features.

·2024.07.22 09:00

TGI Unveils Multi-LoRA Serving Feature

Hugging Face's TGI has launched a feature that dynamically serves multiple LoRA adapters from a single base model.

·2024.07.18 09:00

HuggingFace Releases Docmatix, a Large-Scale Dataset for DocVQA

HuggingFace has released Docmatix, a DocVQA dataset that is 240 times larger than existing ones, containing 2.4 million images and 9.5 million Q/A pairs.

·2024.07.18 09:00

HuggingFace Releases SmolLM

HuggingFace released the SmolLM series of small language models in 135M, 360M, and 1.7B sizes, trained on high-quality data.

·2024.07.16 09:00

NuminaMath Wins AIMO

The NuminaMath 7B TIR model won the first AI Math Olympiad (AIMO) competition.

·2024.07.11 09:00

TRL Adds DPO Support for VLMs

HuggingFace's TRL library now supports Direct Preference Optimization (DPO) for Vision Language Models (VLMs).

·2024.07.10 09:00

Hugging Face experiments with PII detection for datasets

Hugging Face is experimenting with a report feature that uses Presidio to flag whether datasets contain personally identifiable information (PII).

·2024.07.10 09:00

Hugging Face and KerasHub Integration: Transformers Model Support

Transformers models from Hugging Face can now be loaded and used directly in KerasHub.

·2024.07.10 09:00