auto-patch README.md

README.md

@@ -6,11 +6,11 @@ library_name: transformers
 license: cc-by-4.0
 mradermacher:
   readme_rev: 1
+no_imatrix: '[177]95.2675,[178]96.0940,[179]96.4801,nan detected in blk.4.attn_q.weight'
 quantized_by: mradermacher
 tags:
 - nvidia
 - code
-no_imatrix: '[177]95.2675,[178]96.0940,[179]96.4801,nan detected in blk.4.attn_q.weight'
 ---
 ## About
 
@@ -25,7 +25,6 @@ static quants of https://huggingface.co/nvidia/OpenReasoning-Nemotron-7B
 
 ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#OpenReasoning-Nemotron-7B-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
@@ -42,10 +41,14 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/OpenReasoning-Nemotron-7B-GGUF/resolve/main/OpenReasoning-Nemotron-7B.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):