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README.md

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+---
+library_name: deepseek-mla
+tags:
+- attention-mechanism
+- transformers
+- pytorch
+- mla
+- efficient-attention
+pipeline_tag: text-generation
+language: en
+license: mit
+---
+
 # DeepSeek Multi-Latent Attention
 
 This repository provides a PyTorch implementation of the Multi-Latent Attention (MLA) mechanism introduced in the DeepSeek-V2 paper. **This is not a trained model, but rather a modular attention implementation** that significantly reduces KV cache for efficient inference while maintaining model performance through its innovative architecture. It can be used as a drop-in attention module in transformer architectures.
@@ -123,4 +136,8 @@ Please ensure all tests pass before submitting pull requests.
 
 ## License
 
-[MIT License](LICENSE)
+[MIT License](LICENSE)
+=======
+---
+license: mit
+---