Update README.md

README.md

@@ -25,35 +25,35 @@ This model was converted to GGUF format from [`nbeerbower/Dumpling-Qwen2.5-32B-v
 Refer to the [original model card](https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B-v2) for more details on the model.
 
 ---
-nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B finetuned on: 
+[nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B](https://huggingface.co/nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B) finetuned on: 
+   
+* [nbeerbower/GreatFirewall-DPO](https://huggingface.co/datasets/nbeerbower/GreatFirewall-DPO)
 
--nbeerbower/GreatFirewall-DPO
+* [nbeerbower/Schule-DPO](https://huggingface.co/datasets/nbeerbower/Schule-DPO)
 
--nbeerbower/Schule-DPO
+* [nbeerbower/Purpura-DPO](https://huggingface.co/datasets/nbeerbower/Purpura-DPO)
 
--nbeerbower/Purpura-DPO
+* [nbeerbower/Arkhaios-DPO](https://huggingface.co/datasets/nbeerbower/Arkhaios-DPO)
 
--nbeerbower/Arkhaios-DPO
+* [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1)
 
--jondurbin/truthy-dpo-v0.1
+* [antiven0m/physical-reasoning-dpo](https://huggingface.co/datasets/antiven0m/physical-reasoning-dpo)
 
--antiven0m/physical-reasoning-dpo
+* [flammenai/Date-DPO-NoAsterisks](https://huggingface.co/datasets/flammenai/Date-DPO-NoAsterisks)
 
--flammenai/Date-DPO-NoAsterisks
+* [flammenai/Prude-Phi3-DPO](https://huggingface.co/datasets/flammenai/Prude-Phi3-DPO)
 
--flammenai/Prude-Phi3-DPO
+* [Atsunori/HelpSteer2-DPO](https://huggingface.co/datasets/Atsunori/HelpSteer2-DPO)
 
--Atsunori/HelpSteer2-DPO
+* [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1)
 
--jondurbin/gutenberg-dpo-v0.1
+* [nbeerbower/gutenberg2-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo)
 
--nbeerbower/gutenberg2-dpo
+* [nbeerbower/gutenberg-moderne-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg-moderne-dpo).
 
--nbeerbower/gutenberg-moderne-dpo.
+### Method
 
-Method
--
-QLoRA ORPO tuned with 8x A100 for 2 epochs. Rank 64 LoRA, 2e-5 learning rate.
+[QLoRA ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 8x A100 for 2 epochs. Rank 64 LoRA, 2e-5 learning rate.
 
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 ## Use with llama.cpp