Update README.md

README.md

@@ -99,7 +99,7 @@ A compact 0.35B-parameter instruction-tuned language model optimized for reasoni
 
 2. **PIQA**: At **71.82%**, Kai-0.35B nearly matches TinyLlama-1.1B (73.0%) with only 1/3 the parameters, and trails the 1B-class Llama-3.2 by less than 3pp.
 
-3. **MBPP**: At **22.20%** pass@1, OpenKai-0.35B surpasses TinyLlama-1.1B (~19.91%) in code generation despite being 3x smaller.
+3. **MBPP**: At **22.20%** pass@1, Kai-0.35B surpasses TinyLlama-1.1B (~19.91%) in code generation despite being 3x smaller.
 
 ## Usage
 
@@ -110,7 +110,7 @@ model = AutoModelForCausalLM.from_pretrained(
     "NoesisLab/Kai-0.35B-Instruct",
     torch_dtype=torch.bfloat16,
 )
-tokenizer = AutoTokenizer.from_pretrained("NoesisLab/OpenKai-0.35B-Instruct")
+tokenizer = AutoTokenizer.from_pretrained("NoesisLab/Kai-0.35B-Instruct")
 messages = [{"role": "user", "content": "What is 25 * 4?"}]
 input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt")
 output = model.generate(input_ids, max_new_tokens=256)
@@ -121,7 +121,7 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 ## Citation
 
 ```bibtex
-@misc{noesislab2026openkai,
+@misc{noesislab2026nkai,
   title={Kai-0.35B-Instruct},
   author={NoesisLab},
   year={2026},