Update README.md

README.md

@@ -18,10 +18,14 @@ It uses a mixture of the following datasets:
 - Alpaca GPT4
 
 ### Merged Models
+#### 30B
 - GGML 30B 4-bit: [https://huggingface.co/gozfarb/llama-30b-supercot-ggml](https://huggingface.co/gozfarb/llama-30b-supercot-ggml)
 - 30B (unquantized): [https://huggingface.co/ausboss/llama-30b-supercot](https://huggingface.co/ausboss/llama-30b-supercot)
 - 30B 4-bit 128g CUDA: [https://huggingface.co/tsumeone/llama-30b-supercot-4bit-128g-cuda](https://huggingface.co/tsumeone/llama-30b-supercot-4bit-128g-cuda)
 
+#### 13B
+- 13B (unquantized): [https://huggingface.co/ausboss/llama-13b-supercot](https://huggingface.co/ausboss/llama-13b-supercot)
+
 ### Compatibility
 This LoRA is compatible with any 7B, 13B or 30B 4-bit quantized LLaMa model, including ggml quantized converted bins