auto-patch README.md

README.md

@@ -48,10 +48,13 @@ 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-GGUF/resolve/main/Tema_Q-R2.0-Code.Q2_K.gguf) | Q2_K | 3.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.Q3_K_S.gguf) | Q3_K_S | 4.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.Q3_K_L.gguf) | Q3_K_L | 4.8 |  |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.Q6_K.gguf) | Q6_K | 7.1 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.Q8_0.gguf) | Q8_0 | 9.2 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R2.0-Code-GGUF/resolve/main/Tema_Q-R2.0-Code.f16.gguf) | f16 | 17.2 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):