Update README.md

README.md

@@ -7,24 +7,19 @@ SuperCOT is a LoRA I trained with the aim of making LLaMa follow prompts for Lan
 Trained against LLaMa 30B 4-bit for 3 epochs with cutoff length 1024, using a mixture of the following datasets:
 
 [https://huggingface.co/datasets/QingyiSi/Alpaca-CoT](https://huggingface.co/datasets/QingyiSi/Alpaca-CoT)
-
-Chain of thought QED
-
-Chain of thought Aqua
-
-CodeAlpaca
+- Chain of thought QED
+- Chain of thought Aqua
+- CodeAlpaca
 
 [https://huggingface.co/datasets/neulab/conala](https://huggingface.co/datasets/neulab/conala)
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-Code snippets
+- Code snippets
 
 [https://huggingface.co/datasets/yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned)
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-Alpaca GPT4
+- Alpaca GPT4
 
 ### Merged Models
-[https://huggingface.co/gozfarb/llama-30b-supercot-ggml](https://huggingface.co/gozfarb/llama-30b-supercot-ggml)
-[https://huggingface.co/ausboss/llama-30b-supercot](https://huggingface.co/ausboss/llama-30b-supercot)
+- [https://huggingface.co/gozfarb/llama-30b-supercot-ggml](https://huggingface.co/gozfarb/llama-30b-supercot-ggml)
+- [https://huggingface.co/ausboss/llama-30b-supercot](https://huggingface.co/ausboss/llama-30b-supercot)
 
 ### Compatibility
 This LoRA is compatible with any 13B or 30B 4-bit quantized LLaMa model, including ggml quantized converted bins