Update README.md

README.md

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 - 4-bit
 ```
 
-MiniMax-M2.5-REAP-172B-A10B-GGUF-Q4 is a 172 billion parameter MiniMax M2.5 model with 25% of its experts pruned with REAP (Router-weighted Expert Activation Pruning), then converted to GGUF with llama.cpp and static Q4 quantized.
+# MiniMax-M2.5-REAP-172B-A10B-GGUF-Q4
 
-Patch: Reuploaded quantization from `llama.cpp` main@8110 `gguf` @0.17.1 On initial push testing on M4 device and Ollama the model rambled compared to M2.1-REAP. Source used to convert,`llama.cpp` main@7952 quantization. 
+This is a 172 billion parameter MiniMax M2.5 model with 25% of its experts pruned with REAP (Router-weighted Expert Activation Pruning), then converted to GGUF with llama.cpp and static Q4 quantized.
+
+> [!NOTE] 
+> ## Patched 20 / 02 /26
+> Reuploaded quantization from `llama.cpp` main@8110 `gguf` @0.17.1.
+> On initial push testing on M4 device and Ollama the model rambled compared to M2.1-REAP.
+> Original conversion,`llama.cpp` main@7952 quantization. 
 
 Command sequence using source version of llama.cpp from source and `ports` llama-quantize: