auto-patch README.md

README.md

@@ -19,7 +19,7 @@ tags:
 static quants of https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
 
 <!-- provided-files -->
-weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF
+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.
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -40,12 +40,21 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q3_K_L.gguf) | Q3_K_L | 1.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_0.gguf) | Q4_0 | 1.0 | fast, low quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_0_4_4.gguf) | Q4_0_4_4 | 1.0 | fast on arm, low quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_0_4_8.gguf) | Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_0_8_8.gguf) | Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.IQ4_NL.gguf) | IQ4_NL | 1.0 | prefer IQ4_XS |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q4_1.gguf) | Q4_1 | 1.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q5_0.gguf) | Q5_0 | 1.2 |  |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q5_1.gguf) | Q5_1 | 1.3 |  |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.SOURCE.gguf) | SOURCE | 3.2 | source gguf, only provided when it was hard to come by |
 | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.f16.gguf) | f16 | 3.2 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
@@ -65,6 +74,6 @@ questions you might have and/or if you want some other model quantized.
 
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
-this work in my free time.
+this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
 
 <!-- end -->