Update README.md

README.md

@@ -116,8 +116,8 @@ Refer to the Provided Files table below to see what files use which methods, and
 | [llama-2-70b-orca-200k.Q4_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GGUF/blob/main/llama-2-70b-orca-200k.Q4_K_M.gguf) | Q4_K_M | 4 | 41.42 GB| 43.92 GB | medium, balanced quality - recommended |
 | [llama-2-70b-orca-200k.Q5_K_S.gguf](https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GGUF/blob/main/llama-2-70b-orca-200k.Q5_K_S.gguf) | Q5_K_S | 5 | 47.46 GB| 49.96 GB | large, low quality loss - recommended |
 | [llama-2-70b-orca-200k.Q5_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GGUF/blob/main/llama-2-70b-orca-200k.Q5_K_M.gguf) | Q5_K_M | 5 | 48.75 GB| 51.25 GB | large, very low quality loss - recommended |
-| llama-2-70b-orca-200k.Q6_K.bin | q6_K | 6 | 56.82 GB | 59.32 GB | very large, extremely low quality loss |
-| llama-2-70b-orca-200k.Q8_0.bin | q8_0 | 8 | 73.29 GB | 75.79 GB | very large, extremely low quality loss - not recommended |
+| llama-2-70b-orca-200k.Q6_K.bin | Q6_K | 6 | 56.82 GB | 59.32 GB | very large, extremely low quality loss |
+| llama-2-70b-orca-200k.Q8_0.bin | Q8_0 | 8 | 73.29 GB | 75.79 GB | very large, extremely low quality loss - not recommended |
 
 **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.