Update README.md

README.md

@@ -18,8 +18,8 @@ base_model: Wan-AI/Wan2.2-I2V-A14B
 ---
 ## Model Files
 
-- `wan2.2-i2v-a14b-high-FP16.gguf`: High-noise model in **FP16 format (not quantized)**
-- `wan2.2-i2v-a14b-low-FP16.gguf`: Low-noise model in **FP16 format (not quantized)**
+- `wan2.2_i2v_high_noise_14B_fp16.gguf`: High-noise model in **FP16 format (not quantized)**
+- `wan2.2_i2v_low_noise_14B_fp16`: Low-noise model in **FP16 format (not quantized)**
 
 ## Format Details
 
@@ -28,8 +28,8 @@ base_model: Wan-AI/Wan2.2-I2V-A14B
 - Format: GGUF container with **FP16 precision (unquantized)**
 - Original model size: ~27B parameters (14B active per step)
 - File sizes: 
-  - high: 26.8 GB for FP16)
-  - low: 26.8 GB for FP16)
+  - high: 26.8 GB for FP16
+  - low: 26.8 GB for FP16
 
 ## Why FP16 in GGUF?