Upload README.md

README.md

@@ -99,8 +99,6 @@ Refer to the Provided Files table below to see what files use which methods, and
 
 | Name | Quant method | Bits | Size | Max RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-| [airoboros-c34b-2.1.Q6_K.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q6_K.gguf) | Q6_K | 6 | 0.00 GB| 2.50 GB | very large, extremely low quality loss |
-| [airoboros-c34b-2.1.Q8_0.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q8_0.gguf) | Q8_0 | 8 | 0.00 GB| 2.50 GB | very large, extremely low quality loss - not recommended |
 | [airoboros-c34b-2.1.Q5_K_M.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q5_K_M.gguf) | Q5_K_M | 5 | 13.02 GB| 15.52 GB | large, very low quality loss - recommended |
 | [airoboros-c34b-2.1.Q2_K.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q2_K.gguf) | Q2_K | 2 | 14.21 GB| 16.71 GB | smallest, significant quality loss - not recommended for most purposes |
 | [airoboros-c34b-2.1.Q3_K_S.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q3_K_S.gguf) | Q3_K_S | 3 | 14.61 GB| 17.11 GB | very small, high quality loss |
@@ -111,6 +109,8 @@ Refer to the Provided Files table below to see what files use which methods, and
 | [airoboros-c34b-2.1.Q4_K_M.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q4_K_M.gguf) | Q4_K_M | 4 | 20.22 GB| 22.72 GB | medium, balanced quality - recommended |
 | [airoboros-c34b-2.1.Q5_0.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q5_0.gguf) | Q5_0 | 5 | 23.24 GB| 25.74 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
 | [airoboros-c34b-2.1.Q5_K_S.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q5_K_S.gguf) | Q5_K_S | 5 | 23.24 GB| 25.74 GB | large, low quality loss - recommended |
+| [airoboros-c34b-2.1.Q6_K.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q6_K.gguf) | Q6_K | 6 | 27.68 GB| 30.18 GB | very large, extremely low quality loss |
+| [airoboros-c34b-2.1.Q8_0.gguf](https://huggingface.co/TheBloke/Airoboros-c34B-2.1-GGUF/blob/main/airoboros-c34b-2.1.Q8_0.gguf) | Q8_0 | 8 | 35.86 GB| 38.36 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.