auto-patch README.md

README.md

@@ -29,7 +29,7 @@ tags:
 static quants of https://huggingface.co/NousResearch/Llama-2-70b-chat-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/Llama-2-70b-chat-hf-i1-GGUF
 ## Usage
 
 If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -43,10 +43,18 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q2_K.gguf) | Q2_K | 25.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.IQ3_XS.gguf) | IQ3_XS | 28.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.IQ3_S.gguf) | IQ3_S | 30.0 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q3_K_S.gguf) | Q3_K_S | 30.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.IQ3_M.gguf) | IQ3_M | 31.0 |  |
 | [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q3_K_M.gguf) | Q3_K_M | 33.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q3_K_L.gguf) | Q3_K_L | 36.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.IQ4_XS.gguf) | IQ4_XS | 37.3 |  |
 | [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q4_K_S.gguf) | Q4_K_S | 39.3 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q4_K_M.gguf) | Q4_K_M | 41.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q5_K_S.gguf) | Q5_K_S | 47.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q5_K_M.gguf) | Q5_K_M | 48.9 |  |
+| [PART 1](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q6_K.gguf.part2of2) | Q6_K | 56.7 | very good quality |
 | [PART 1](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-2-70b-chat-hf-GGUF/resolve/main/Llama-2-70b-chat-hf.Q8_0.gguf.part2of2) | Q8_0 | 73.4 | fast, best quality |
 
 Here is a handy graph by ikawrakow comparing some lower-quality quant