auto-patch README.md

README.md

@@ -39,15 +39,22 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ1_S.gguf) | i1-IQ1_S | 2.2 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ2_S.gguf) | i1-IQ2_S | 3.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q2_K.gguf) | i1-Q2_K | 3.4 | IQ3_XXS probably better |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.5 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.9 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ3_S.gguf) | i1-IQ3_S | 3.9 | beats Q3_K* |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ3_M.gguf) | i1-IQ3_M | 4.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.2 | IQ3_S probably better |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q4_0.gguf) | i1-Q4_0 | 4.9 | fast, low quality |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.9 | prefer IQ4_XS |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.9 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q4_1.gguf) | i1-Q4_1 | 5.3 |  |
 | [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/TableGPT-R1-i1-GGUF/resolve/main/TableGPT-R1.i1-Q6_K.gguf) | i1-Q6_K | 6.8 | practically like static Q6_K |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):