auto-patch README.md

README.md

@@ -48,12 +48,26 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ1_S.gguf) | i1-IQ1_S | 2.3 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ2_S.gguf) | i1-IQ2_S | 3.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ2_M.gguf) | i1-IQ2_M | 3.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.3 | very low quality |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q2_K.gguf) | i1-Q2_K | 3.6 | IQ3_XXS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.6 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q3_K_S.gguf) | i1-Q3_K_S | 4.1 | IQ3_XS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ3_M.gguf) | i1-IQ3_M | 4.2 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.5 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.8 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.9 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-IQ4_NL.gguf) | i1-IQ4_NL | 5.1 | prefer IQ4_XS |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q4_K_S.gguf) | i1-Q4_K_S | 5.1 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.4 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q5_K_S.gguf) | i1-Q5_K_S | 6.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-i1-GGUF/resolve/main/Tema_Q-R2.0-Code.i1-Q6_K.gguf) | i1-Q6_K | 7.1 | practically like static Q6_K |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):