Update README.md

README.md

@@ -15,7 +15,7 @@ tags:
 ---
 
 
-# SmolLM2-135M-Humanized
+# SmolLM2-360M-Humanized
 
 ##  Table of Contents
 
@@ -27,11 +27,11 @@ tags:
 
 ## Model Summary
 
-**SmolLM2-135M-Humanized** is a fine-tuned version of the [SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) model, optimized using the Direct Preference Optimization (DPO) method. To do this we used the "[Human-Like-DPO-Dataset](https://huggingface.co/datasets/HumanLLMs/Human-Like-DPO-Dataset)" from [Human-Like LLMs](https://huggingface.co/HumanLLMs).
+**SmolLM2-360M-Humanized** is a fine-tuned version of the [SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) model, optimized using the Direct Preference Optimization (DPO) method. To do this we used the "[Human-Like-DPO-Dataset](https://huggingface.co/datasets/HumanLLMs/Human-Like-DPO-Dataset)" from [Human-Like LLMs](https://huggingface.co/HumanLLMs).
 
 Unlike traditional fine-tuning datasets that aim to improve specific benchmarks or metrics, the Human-Like-DPO-Dataset focuses on aligning the model's behavior with human preferences. This process enhances the model's ability to generate more natural, human-like responses, making it particularly well-suited for conversational applications.
 
-By emphasizing response quality and relatability, SmolLM2-135M-Humanized is designed to deliver an engaging and intuitive user experience in dialogue-based scenarios.
+By emphasizing response quality and relatability, SmolLM2-360M-Humanized is designed to deliver an engaging and intuitive user experience in dialogue-based scenarios.
 
 
 ### How to use