auto-patch README.md

README.md

@@ -16,9 +16,8 @@ quantized_by: mradermacher
 <!-- ### vocab_type:  -->
 static quants of https://huggingface.co/allenai/OLMo-1.7-7B-hf
 
-
 <!-- 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/OLMo-1.7-7B-hf-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -31,7 +30,21 @@ more details, including on how to concatenate multi-part files.
 
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q2_K.gguf) | Q2_K | 2.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.IQ3_XS.gguf) | IQ3_XS | 3.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.IQ3_S.gguf) | IQ3_S | 3.1 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q3_K_S.gguf) | Q3_K_S | 3.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.IQ3_M.gguf) | IQ3_M | 3.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q3_K_M.gguf) | Q3_K_M | 3.5 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q3_K_L.gguf) | Q3_K_L | 3.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.IQ4_XS.gguf) | IQ4_XS | 3.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q4_K_S.gguf) | Q4_K_S | 4.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q4_K_M.gguf) | Q4_K_M | 4.3 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q5_K_S.gguf) | Q5_K_S | 4.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q5_K_M.gguf) | Q5_K_M | 5.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q6_K.gguf) | Q6_K | 5.8 | very good quality |
 | [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.Q8_0.gguf) | Q8_0 | 7.4 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/OLMo-1.7-7B-hf-GGUF/resolve/main/OLMo-1.7-7B-hf.f16.gguf) | f16 | 13.9 | 16 bpw, overkill |
 
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant