From 381e181e993963eea42cba8743d97fc39996ebc1 Mon Sep 17 00:00:00 2001
From: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Date: Sat, 25 Oct 2025 19:26:05 -0700
Subject: [PATCH] Update README.md

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 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index cc1fd61ecc..eef5289f5b 100644
--- a/README.md
+++ b/README.md
@@ -53,6 +53,7 @@ For RTX 50x, B200, 6000 GPUs, simply do `pip install unsloth`. Read our [Blackwe
 - **Docker**: Use Unsloth with no setup & environment issues with our new image. [Guide](https://docs.unsloth.ai/new/how-to-train-llms-with-unsloth-and-docker) • [Docker image](https://hub.docker.com/r/unsloth/unsloth)
 - **gpt-oss RL**: Introducing the fastest possible inference for gpt-oss RL! [Read blog](https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning)
 - **Vision RL**: You can now train VLMs with GRPO or GSPO in Unsloth! [Read guide](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl)
+- **Quantization-Aware Training**: We collabed with Pytorch for QAT, recovering as much 70% accuracy. [Read blog](https://docs.unsloth.ai/new/quantization-aware-training-qat)
 - **Memory-efficient RL**: We're introducing even better RL. Our new kernels & algos allows faster RL with 50% less VRAM & 10× more context. [Read blog](https://docs.unsloth.ai/new/memory-efficient-rl)
 - **gpt-oss** by OpenAI: For details on [Unsloth Flex Attention](https://docs.unsloth.ai/new/long-context-gpt-oss-training), long-context training, bug fixes, [Read our Guide](https://docs.unsloth.ai/basics/gpt-oss). 20B works on a 14GB GPU and 120B on 65GB VRAM. [gpt-oss uploads](https://huggingface.co/collections/unsloth/gpt-oss-6892433695ce0dee42f31681).
 - **Gemma 3n** by Google: [Read Blog](https://docs.unsloth.ai/basics/gemma-3n-how-to-run-and-fine-tune). We [uploaded GGUFs, 4-bit models](https://huggingface.co/collections/unsloth/gemma-3n-685d3874830e49e1c93f9339).