Update README.md

README.md

@@ -112,20 +112,20 @@ Refer to the Provided Files table below to see what files use which methods, and
 <!-- README_GGUF.md-provided-files start -->
 ## Provided files
 
-| Name | Quant method | Bits | Size | Max RAM required | Use case |
+| Name | Quant method | Bits |  Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-| NorskGPT-Llama3-8b.Q2_K.gguf | Q2_K | 2 | 2.72 GB| 5.22 GB | significant quality loss - not recommended for most purposes |
-| NorskGPT-Llama3-8b.Q3_K_S.gguf | Q3_K_S | 3 | 3.16 GB| 5.66 GB | very small, high quality loss |
-| NorskGPT-Llama3-8b.Q3_K_M.gguf| Q3_K_M | 3 | 3.52 GB| 6.02 GB | very small, high quality loss |
-| NorskGPT-Llama3-8b.Q3_K_L.gguf | Q3_K_L | 3 | 3.82 GB| 6.32 GB | small, substantial quality loss |
-| NorskGPT-Llama3-8b.Q4_0.gguf| Q4_0 | 4 | 4.11 GB| 6.61 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| NorskGPT-Llama3-8b.Q4_K_S.gguf | Q4_K_S | 4 | 4.14 GB| 6.64 GB | small, greater quality loss |
-| NorskGPT-Llama3-8b.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB| 6.87 GB | medium, balanced quality - recommended |
-| NorskGPT-Llama3-8b.Q5_0.gguf | Q5_0 | 5 | 5.00 GB| 7.50 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| NorskGPT-Llama3-8b.Q5_K_S.gguf | Q5_K_S | 5 | 5.00 GB| 7.50 GB | large, low quality loss - recommended |
-| NorskGPT-Llama3-8b.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB| 7.63 GB | large, very low quality loss - recommended |
-| NorskGPT-Llama3-8b.Q6_K.gguf| Q6_K | 6 | 5.94 GB| 8.44 GB | very large, extremely low quality loss |
-| NorskGPT-Llama3-8b.Q8_0.gguf | Q8_0 | 8 | 7.70 GB| 10.20 GB | very large, extremely low quality loss - not recommended |
+| NorskGPT-Llama3-8b.Q2_K.gguf | Q2_K | 2 |  significant quality loss - not recommended for most purposes |
+| NorskGPT-Llama3-8b.Q3_K_S.gguf | Q3_K_S | 3 |  very small, high quality loss |
+| NorskGPT-Llama3-8b.Q3_K_M.gguf| Q3_K_M | 3 |  very small, high quality loss |
+| NorskGPT-Llama3-8b.Q3_K_L.gguf | Q3_K_L | 3 |  small, substantial quality loss |
+| NorskGPT-Llama3-8b.Q4_0.gguf| Q4_0 | 4 | 4.11 GB|  legacy; small, very high quality loss - prefer using Q3_K_M |
+| NorskGPT-Llama3-8b.Q4_K_S.gguf | Q4_K_S | 4 | | small, greater quality loss |
+| NorskGPT-Llama3-8b.Q4_K_M.gguf | Q4_K_M | 4 | |  medium, balanced quality - recommended |
+| NorskGPT-Llama3-8b.Q5_0.gguf | Q5_0 | 5 |  legacy; medium, balanced quality - prefer using Q4_K_M |
+| NorskGPT-Llama3-8b.Q5_K_S.gguf | Q5_K_S | 5 |  large, low quality loss - recommended |
+| NorskGPT-Llama3-8b.Q5_K_M.gguf | Q5_K_M | 5 |  large, very low quality loss - recommended |
+| NorskGPT-Llama3-8b.Q6_K.gguf| Q6_K | 6 |  very large, extremely low quality loss |
+| NorskGPT-Llama3-8b.Q8_0.gguf | Q8_0 | 8 |  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.