Update README.md

README.md

@@ -7,12 +7,15 @@ license: mit
 This is a second prototype of SuperHOT, this time 30B with 8K context and no RLHF, using the same technique described in [the github blog](https://kaiokendev.github.io/til#extending-context-to-8k).
 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)
 
+#### Using the monkey-patch?
+You will **NEED** to **apply the monkeypatch** or, if you are already using the monkeypatch, **change the scaling factor to 0.25 and the maximum sequence length to 8192**
+
+#### Using Oobabooga with Exllama?
+- `python server.py --max_seq_len 8192 --compress_pos_emb 4 --loader exllama_hf`
 
 #### Training Details
 I trained the LoRA with the following configuration: