# Hugging Face — Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs

- Company: Hugging Face (huggingface.co)
- Announced: 2025-04-29T00:00:00+00:00
- Category: developer-tool-release
- Subject: Platform
- Source: https://huggingface.co/blog/autoround
- Record: https://forck.live/items/1705-introducing-autoround-intel-s-advanced-quantization-for-llms-and-vlms

Intel introduces AutoRound, a new quantization tool for LLMs and VLMs that uses signed gradient descent to optimize weight rounding and clipping, supporting low-bit quantization with minimal accuracy loss.

## Evidence

Verbatim from https://huggingface.co/blog/autoround:

> AutoRound is a weight-only post-training quantization (PTQ) method developed by Intel.

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Record: https://forck.live/items/1705-introducing-autoround-intel-s-advanced-quantization-for-llms-and-vlms
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