Update README.md

README.md

@@ -24,7 +24,7 @@ By utilizing the **Overflow** architecture, this model achieves massive scale re
 * **Layers:** 128
 * **Hidden Size:** 16,384
 * **Attention:** Grouped Query Attention (GQA) with 16 KV heads
-* **Format:** `.safetensors` / `.bbuf` (Optimized for 1TSumerGPU)
+* **Format:** `.safetensors`
 
 
 
@@ -36,9 +36,5 @@ We are currently in the process of sharding the 1.5-bit weights to the Hugging F
 ## 🧠 Why 1.5-bit?
 Unlike standard 1-bit models, Overflow-1T utilizes a **0-state** (Neutral weight). This allows the model to effectively "silence" noise across its 1T parameter space, leading to significantly higher stability in Chain-of-Thought (CoT) reasoning and logic tasks compared to binary 1-bit models.
 
-## 💻 Inference
-This model is designed to be served using the **1TSumerGPU** engine, a custom C++ and CUDA-based inference framework optimized for NVIDIA RTX 40-series GPUs.
-
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-**Created by CooLLaMACEO**
-*Part of the Kwen Foundation initiatives.*
+**Created by CooLLaMACEO**