Update README.md

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
 tags:
 - text-generation-inference
 - reasoning
@@ -16,10 +17,10 @@ language:
 
 - **Developed by:** johnnietien
 - **License:** apache-2.0
-- **Finetuned from model :** llama-3.2-1b-instruct-bnb-4bit
+- **Finetuned from model :** meta-llama/Llama-3.2-1B-Instruct
 
 This is one of my first Reasoning model can have an “aha moment” same as DeepSeek’s R1. 
 We've enhanced the entire GRPO process, making it use 80% less VRAM than Hugging Face + FA2. 
 This allows you to reproduce R1-Zero's "aha moment" on just 7GB of VRAM using llama-3.2-1b.
 Please note, this isn’t fine-tuning DeepSeek’s R1 distilled models or using distilled data from R1 for tuning.
-This is converting a standard model into a full-fledged reasoning model using GRPO.
+This is converting a standard model into a full-fledged reasoning model using GRPO.