Update README.md

README.md

@@ -20,9 +20,17 @@ Welcome to the official Hugging Face organization for Poolside’s open models.
 
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+## Laguna S 2.1
+
+[Our most recent release](https://huggingface.co/poolside/Laguna-S-2.1): Laguna S 2.1 (118B-A8B), designed for agentic coding and long-horizon work. Laguna S 2.1 outperforms larger coding agent models, scoring 40.4% on DeepSWE. Free to use under OpenMDW-1.1.
+
+*[Release blog post](http://poolside.ai/blog/introducing-laguna-s-2-1)*.
+
+---
+
 ## Laguna XS 2.1
 
-[Our most recent release](https://huggingface.co/poolside/Laguna-XS-2.1): Laguna XS 2.1 (33B-A3B), designed for agentic coding and long-horizon work on a local machine. It uses Sliding Window Attention with per-head gating in 30 out of 40 layers for fast inference and low KV cache requirements.
+[Our efficient small model](https://huggingface.co/poolside/Laguna-XS-2.1): Laguna XS 2.1 (33B-A3B), designed for agentic coding and long-horizon work on a local machine. It uses Sliding Window Attention with per-head gating in 30 out of 40 layers for fast inference and low KV cache requirements.
 
 *[Release blog post](http://poolside.ai/blog/introducing-laguna-xs-2-1)*.
 
@@ -30,7 +38,7 @@ Welcome to the official Hugging Face organization for Poolside’s open models.
 
 ## Laguna M.1
 
-[Our flagship model, now available open weight](https://huggingface.co/poolside/Laguna-M.1): Laguna M.1 (225B-A23B) is our strongest coding agent model to date and is now available in base and post-trained (BF16, FP8 and NVFP4) variants under Apache 2.0 licenses. 49.2% on SWE-Bench Pro.
+[Our first flagship model, now available open weight](https://huggingface.co/poolside/Laguna-M.1): Laguna M.1 (225B-A23B) is available in base and post-trained (BF16, FP8 and NVFP4) variants under Apache 2.0 licenses. 49.2% on SWE-Bench Pro.
 
 *[Release blog post](https://poolside.ai/blog/laguna-a-deeper-dive)*.