Update README.md

README.md

@@ -28,9 +28,9 @@ This is a modular toolkit. Rather than running one massive monolithic model, VAJ
 
 ### 2. The Clinical LoRA Adapters
 These are lightweight (<120MB), hot-swappable domain experts trained for specific LangGraph agent nodes:
-* **`lora_module2.gguf`:** Clinical Agent Node 2.
-* **`lora_module3.gguf`:** Clinical Agent Node 3.
-* **`lora_module4.gguf`:** Clinical Agent Node 4.
+* **`lora_module2.gguf`:** Agent Tool2 - For Multiple Myeloma risk stratification.
+* **`lora_module3.gguf`:** Agent Tool3 - For Bone Marrow biopsy analysis for figure out percentage of malignant myeloma cells.
+* **`lora_module4.gguf`:** Agent Tool4 - For Myeloma Progression analysis.
 
 ### 3. Build Artifacts
 * **`llama_cpp_python-0.3.16-cp310-cp310-linux_x86_64.whl` (4.75 MB):** A custom, pre-compiled Python wheel with OpenBLAS hardware acceleration baked in. Used to bypass strict compilation timeouts when deploying the VAJRAM orchestrator to serverless environments like Hugging Face Spaces.