Update README.md

README.md

@@ -8,4 +8,12 @@ base_model:
 pipeline_tag: text-generation
 ---
 
-We introduce HermesCoder-14B, a code reasoning model post-trained on Qwen3-14B via reinforcement learning with verifiable rewards (RLVR). On LiveCodeBench v5 (08/01/2024 - 05/01/2025), we achieve a Pass@1 accuracy of 67.87\%, up 7.08\% from the baseline Pass@1 accuracy of 60.79\% of Qwen3-14B. To the best of our knowledge, this is the highest-performing 14B model to date. We trained on 24K verifiable coding problems using 48 B200s over the course of four days.
+# HermesCoder-14B
+
+[![](https://img.shields.io/badge/X-NousResearch-000000?logo=x&logoColor=white)](https://x.com/NousResearch)
+[![apache 2.0](https://img.shields.io/badge/License-Apache%202.0-orange?logoColor=white&logoUrl=https://pbs.twimg.com/profile_images/1816254738234761216/TX7TW-Mp_400x400.jpg)](https://www.apache.org/licenses/LICENSE-2.0)
+
+We introduce *HermesCoder-14B*, a code reasoning model post-trained on [Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) via reinforcement learning with verifiable rewards (RLVR). 
+On LiveCodeBench v5 (08/01/2024 - 05/01/2025), we achieve a Pass@1 accuracy of 67.87\%, up 7.08\% from the baseline Pass@1 accuracy of 60.79\%
+of Qwen3-14B. To the best of our knowledge, this is the highest-performing 14B model to date. 
+We trained on 24k verifiable coding problems using 48 B200s over the course of four days.