auto-patch README.md

README.md

@@ -21,7 +21,7 @@ tags:
 static quants of https://huggingface.co/ericflo/Llama-3.2-3B-COT
 
 <!-- provided-files -->
-weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3.2-3B-COT-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -38,10 +38,15 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q3_K_S.gguf) | Q3_K_S | 1.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q3_K_L.gguf) | Q3_K_L | 1.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.IQ4_XS.gguf) | IQ4_XS | 1.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q4_0_4_4.gguf) | Q4_0_4_4 | 2.0 | fast on arm, low quality |
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q5_K_S.gguf) | Q5_K_S | 2.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q5_K_M.gguf) | Q5_K_M | 2.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q6_K.gguf) | Q6_K | 2.7 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.Q8_0.gguf) | Q8_0 | 3.5 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-COT-GGUF/resolve/main/Llama-3.2-3B-COT.f16.gguf) | f16 | 6.5 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):