From 2a7d098203bcf48805d200a462bcb855886676d0 Mon Sep 17 00:00:00 2001
From: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Date: Fri, 13 Feb 2026 19:38:23 -0800
Subject: [PATCH] Update README with faster MoE.md

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

diff --git a/README.md b/README.md
index bfe7f2255b..88f8c77ffa 100644
--- a/README.md
+++ b/README.md
@@ -53,6 +53,7 @@ Use our official [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth
 For RTX 50x, B200, 6000 GPUs: `pip install unsloth`. Read our [Blackwell Guide](https://unsloth.ai/docs/blog/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [DGX Spark Guide](https://unsloth.ai/docs/blog/fine-tuning-llms-with-nvidia-dgx-spark-and-unsloth) for more details.
 
 ## 🦥 Unsloth News
+- Train **MoE LLMs 12x faster** with 35% less VRAM - DeepSeek, GLM, Qwen and gpt-oss. [Blog](https://unsloth.ai/docs/new/faster-moe)
 - **Embedding models**: Unsloth now supports ~1.8-3.3x faster embedding fine-tuning. [Blog](https://unsloth.ai/docs/new/embedding-finetuning) • [Notebooks](https://unsloth.ai/docs/get-started/unsloth-notebooks#embedding-models)
 - New **7x longer context RL** vs. all other setups, via our new batching algorithms. [Blog](https://unsloth.ai/docs/new/grpo-long-context)
 - New RoPE & MLP **Triton Kernels** & **Padding Free + Packing**: 3x faster training & 30% less VRAM. [Blog](https://unsloth.ai/docs/new/3x-faster-training-packing)