Update README.md

README.md

@@ -107,6 +107,13 @@ model-index:
       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fblgit/cybertron-v4-qw7B-UNAMGS
       name: Open LLM Leaderboard
 ---
+
+## Llamacpp imatrix Quantizations of cybertron-v4-qw7B-UNAMGS
+
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4132">b4132</a> for quantization.
+
+Original model: https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS
+
 # cybertron-v4-qw7B-UNAMGS
 
 **UNA IS BACK** Cybertron v4 UNA-MGS, Based on the amazing Qwen2.5 7B
@@ -121,12 +128,6 @@ Here we use our novel approach called `MGS`. Its up to you to figure out what it
 
 Cybertron V4 went thru SFT with `MGS & UNA`  over `Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1` dataset.
 
-## Llamacpp imatrix Quantizations of cybertron-v4-qw7B-UNAMGS
-
-Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4132">b4132</a> for quantization.
-
-Original model: https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS
-
 All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
 
 Run them in [LM Studio](https://lmstudio.ai/)