update

README.md

@@ -30,15 +30,6 @@ This model is intended for multiple-choice question answering (MCQA) tasks, part
 - Not intended for open-ended or dialog generation
 - Not suitable for high-stakes decision-making or critical applications without human oversight
 
----
-
-## How to Use
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model = AutoModelForCausalLM.from_pretrained("zay25/MNLP_M3_quantized_model", trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("zay25/MNLP_M3_quantized_model")
 
 ## Training Details
 
@@ -50,3 +41,12 @@ tokenizer = AutoTokenizer.from_pretrained("zay25/MNLP_M3_quantized_model")
   - Per-channel zero point: enabled
 - **Calibration dataset**: 512 samples from `hssawhney/Reasoning-Dataset`
 
+---
+
+## How to Use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("zay25/MNLP_M3_quantized_model", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("zay25/MNLP_M3_quantized_model")