Update README.md

README.md

@@ -20,9 +20,9 @@ tags:
   - lxcorp
 ---
 
-# lambdAI — Lightweight Math & Logic Reasoning Model
+# lambda-1v-1b — Lightweight Math & Logic Reasoning Model
 
-**lambdAI** is a compact, fine-tuned language model built on top of `TinyLlama-1.1B-Chat-v1.0`, designed for educational reasoning tasks in both Portuguese and English. It focuses on logic, number theory, and mathematics, delivering fast performance with minimal computational requirements.
+**lambda-1v-1b** is a compact, fine-tuned language model built on top of `TinyLlama-1.1B-Chat-v1.0`, designed for educational reasoning tasks in both Portuguese and English. It focuses on logic, number theory, and mathematics, delivering fast performance with minimal computational requirements.
 
 ---
 
@@ -43,8 +43,8 @@ tags:
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model = AutoModelForCausalLM.from_pretrained("lxcorp/lambdai")
-tokenizer = AutoTokenizer.from_pretrained("lxcorp/lambdai")
+model = AutoModelForCausalLM.from_pretrained("lxcorp/lambda-1v-1b")
+tokenizer = AutoTokenizer.from_pretrained("lxcorp/lambda-1v-1b")
 
 input_text = "Problema: Prove que 17 é um número primo."
 inputs = tokenizer(input_text, return_tensors="pt")
@@ -52,7 +52,7 @@ inputs = tokenizer(input_text, return_tensors="pt")
 output = model.generate(**inputs, max_new_tokens=100)
 print(tokenizer.decode(output[0], skip_special_tokens=True))
 
-
+```
 ---
 
 About λχ Corp.