From a44d781abe7dcb638ec5ab1f1cc1803ba57e929f Mon Sep 17 00:00:00 2001 From: Mergen Nachin Date: Wed, 22 Oct 2025 10:08:52 -0700 Subject: [PATCH] Add success story for Ultralytics and Unsloth blog Added a new success story for Ultralytics YOLO models and updated links for Unsloth blog --- docs/source/success-stories.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/docs/source/success-stories.md b/docs/source/success-stories.md index 4ea9ce2c8bb..5b876437580 100644 --- a/docs/source/success-stories.md +++ b/docs/source/success-stories.md @@ -106,7 +106,14 @@ PyTorch-native quantization and optimization library for preparing efficient mod Optimize LLM fine-tuning with faster training and reduced VRAM usage, then deploy efficiently with ExecuTorch. -[Example Model →](https://huggingface.co/metascroy/Qwen3-4B-int8-int4-unsloth) +[Example Model →](https://huggingface.co/metascroy/Qwen3-4B-int8-int4-unsloth) • [Blog →](https://docs.unsloth.ai/new/quantization-aware-training-qat) +::: + +:::{grid-item-card} **Ultralytics** +:class-header: bg-secondary text-white + +Deploy on-device inference for Ultralytics YOLO models using ExecuTorch. +[Explore →](https://docs.ultralytics.com/integrations/executorch/) ::: ::::