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README.md

@@ -86,18 +86,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [gemma-3-1b-it-Q2_K.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q2_K.gguf) | Q2_K | 0.007 GB | smallest, significant quality loss - not recommended for most purposes |
-| [gemma-3-1b-it-Q3_K_S.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_S.gguf) | Q3_K_S | 0.007 GB | very small, high quality loss |
-| [gemma-3-1b-it-Q3_K_M.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_M.gguf) | Q3_K_M | 0.007 GB | very small, high quality loss |
-| [gemma-3-1b-it-Q3_K_L.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_L.gguf) | Q3_K_L | 0.007 GB | small, substantial quality loss |
-| [gemma-3-1b-it-Q4_0.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_0.gguf) | Q4_0 | 0.007 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [gemma-3-1b-it-Q4_K_S.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_S.gguf) | Q4_K_S | 0.007 GB | small, greater quality loss |
-| [gemma-3-1b-it-Q4_K_M.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_M.gguf) | Q4_K_M | 0.007 GB | medium, balanced quality - recommended |
-| [gemma-3-1b-it-Q5_0.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_0.gguf) | Q5_0 | 0.007 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [gemma-3-1b-it-Q5_K_S.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_S.gguf) | Q5_K_S | 0.007 GB | large, low quality loss - recommended |
-| [gemma-3-1b-it-Q5_K_M.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_M.gguf) | Q5_K_M | 0.007 GB | large, very low quality loss - recommended |
-| [gemma-3-1b-it-Q6_K.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q6_K.gguf) | Q6_K | 0.007 GB | very large, extremely low quality loss |
-| [gemma-3-1b-it-Q8_0.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q8_0.gguf) | Q8_0 | 0.007 GB | very large, extremely low quality loss - not recommended |
+| [gemma-3-1b-it-Q2_K.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q2_K.gguf) | Q2_K | 0.690 GB | smallest, significant quality loss - not recommended for most purposes |
+| [gemma-3-1b-it-Q3_K_S.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_S.gguf) | Q3_K_S | 0.689 GB | very small, high quality loss |
+| [gemma-3-1b-it-Q3_K_M.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_M.gguf) | Q3_K_M | 0.722 GB | very small, high quality loss |
+| [gemma-3-1b-it-Q3_K_L.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_L.gguf) | Q3_K_L | 0.752 GB | small, substantial quality loss |
+| [gemma-3-1b-it-Q4_0.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_0.gguf) | Q4_0 | 0.720 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [gemma-3-1b-it-Q4_K_S.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_S.gguf) | Q4_K_S | 0.781 GB | small, greater quality loss |
+| [gemma-3-1b-it-Q4_K_M.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_M.gguf) | Q4_K_M | 0.806 GB | medium, balanced quality - recommended |
+| [gemma-3-1b-it-Q5_0.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_0.gguf) | Q5_0 | 0.808 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [gemma-3-1b-it-Q5_K_S.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_S.gguf) | Q5_K_S | 0.836 GB | large, low quality loss - recommended |
+| [gemma-3-1b-it-Q5_K_M.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_M.gguf) | Q5_K_M | 0.851 GB | large, very low quality loss - recommended |
+| [gemma-3-1b-it-Q6_K.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q6_K.gguf) | Q6_K | 1.012 GB | very large, extremely low quality loss |
+| [gemma-3-1b-it-Q8_0.gguf](https://huggingface.co/tensorblock/google_gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q8_0.gguf) | Q8_0 | 1.069 GB | very large, extremely low quality loss - not recommended |
 
 
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