Update README.md

README.md

@@ -136,10 +136,10 @@ The Yuna AI model was trained on a massive dataset containing diverse topics. Th
 ## Provided files
 | Name | Quant method | Bits | Size | Max RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-| [yuna-ai-v3-q3_k_m.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q3_k_m.gguf) | Q3_K_M | 3 | 3.30 GB| 5.80 GB | very small, high quality loss |
-| [yuna-ai-v3-q4_k_m.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q4_k_m.gguf) | Q4_K_M | 4 | 4.08 GB| 6.58 GB | medium, balanced quality - recommended |
-| [yuna-ai-v3-q5_k_m.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q5_k_m.gguf) | Q5_K_M | 5 | 4.78 GB| 7.28 GB | large, very low quality loss - recommended |
-| [yuna-ai-v3-q6_k.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q6_k.gguf) | Q6_K | 6 | 5.53 GB| 8.03 GB | very large, extremely low quality loss |
+| [yuna-ai-v2-q3_k_m.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q3_k_m.gguf) | Q3_K_M | 3 | 3.30 GB| 5.80 GB | very small, high quality loss |
+| [yuna-ai-v2-q4_k_m.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q4_k_m.gguf) | Q4_K_M | 4 | 4.08 GB| 6.58 GB | medium, balanced quality - recommended |
+| [yuna-ai-v2-q5_k_m.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q5_k_m.gguf) | Q5_K_M | 5 | 4.78 GB| 7.28 GB | large, very low quality loss - recommended |
+| [yuna-ai-v2-q6_k.gguf](https://huggingface.co/yukiarimo/yuna-ai-v2/blob/main/yuna-ai-v2-q6_k.gguf) | Q6_K | 6 | 5.53 GB| 8.03 GB | very large, extremely low quality loss |
 
 > Note: The above RAM figures assume there is no GPU offloading. If layers are offloaded to the GPU, RAM usage will be reduced, and VRAM will be used instead.