Update README.md

README.md

@@ -62,3 +62,10 @@ inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
 outputs = model.generate(**inputs, max_new_tokens=20)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
+
+
+## Acknowledgement
+We would like to thank [AxiomicLabs](https://huggingface.co/AxiomicLabs) for proving that XSA architecture is excellent for token efficiency.
+
+## Limitations
+This is an early test of the larger Surjo Project. The code is not very stable and we do not recommend using the modeling file without doing edits for training your own model.