Update README.md

README.md

@@ -9,6 +9,12 @@ Tests have shown that the model does indeed leverage the extended context at 8K.
 
 You will need to **use either the monkeypatch** or, if you are already using the monkeypatch, **change the scaling factor to 0.25 and the maximum sequence length to 8192**
 
+#### Looking for Merged & Quantized Models?
+30B 4-bit CUDA: [tmpupload/superhot-30b-8k-4bit-safetensors](https://huggingface.co/tmpupload/superhot-30b-8k-4bit-safetensors)
+30B 4-bit CUDA 128g: [tmpupload/superhot-30b-8k-4bit-128g-safetensors](https://huggingface.co/tmpupload/superhot-30b-8k-4bit-128g-safetensors)
+
+
+#### Training Details
 I trained the LoRA with the following configuration: 
 - 1200 samples (~400 samples over 2048 sequence length)
 - learning rate of 3e-4