Fine-tuning LLMs to 1.58bit: extreme quantization made easy

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Granite 4.2 LLMs: How They're Built

A Blog post by IBM Granite on Hugging Face

Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original

A Blog post by Multiverse Computing on Hugging Face