Update README.md

README.md

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 # Gemma Advanced V2.1 - GGUF Quants
 
-This is a merge of the 'smartest' advanced fine-tunes available for Gemma-2-9b-it.
+This is a merge of the 'smartest' advanced fine-tunes available for Gemma-2-9b-it. It includes WPO, SimPO, and SPPO. The merge was performed via the SOTA 'della' merge method. Merge parameters have been hand-tuned for best results. The Q8_0 quant is highly recommended. I'll link to other quants as they appear.
 
 ## Notes and observations:
 * The extreme temperature sensitivity from V1 has been fixed, no longer needs to be run at lower temperatures
@@ -26,8 +26,6 @@ This is a merge of the 'smartest' advanced fine-tunes available for Gemma-2-9b-i
 * I'm looking for a job, if you're hiring. I'm a skilled Python developer who brings strong devops skills along with an ever-growing knowledge of machine learning pipelines and models. Message me if you want to talk about what I can bring to your team.
 * Overall, this feels like a very useful and successful merge.
 
-GGUFs here: https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1-GGUF
-
 # sample ollama Modelfile
 ```yaml
 FROM /path/to/file/gemma-2-9B-it-advanced-v2.1-Q8_0.gguf