Update README.md

README.md

@@ -18,13 +18,13 @@ library_name: transformers
 pipeline_tag: text-generation
 ---
 
-# DeepMath-v1: A Lightweight Math Reasoning Agent
+# DeepMath: A Lightweight Math Reasoning Agent
 
 <img src="https://cdn-uploads.huggingface.co/production/uploads/62d93cd728f9c86a4031562e/ndb_WmPavW1MONAjsGpYT.jpeg" style="width:600px" alt="An LLM is using a calculator to answer questions." />
 
 ## Model Description
 
-**DeepMath-v1** is a 4B parameter mathematical reasoning model that combines a fine-tuned LLM with a sandboxed Python executor. Built on [Qwen3-4B Thinking](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507) and trained with **GRPO (Group Relative Policy Optimization)**, DeepMath generates concise Python snippets for computational steps instead of verbose text explanations, significantly reducing errors and output length.
+**DeepMath** is a 4B parameter mathematical reasoning model that combines a fine-tuned LLM with a sandboxed Python executor. Built on [Qwen3-4B Thinking](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507) and trained with **GRPO (Group Relative Policy Optimization)**, DeepMath generates concise Python snippets for computational steps instead of verbose text explanations, significantly reducing errors and output length.
 
 - **Developed by:** Intel AI Labs
 - **Model type:** Causal language model with agent capabilities
@@ -43,7 +43,7 @@ pipeline_tag: text-generation
 
 ## Model Architecture
 
-DeepMath-v1 uses a LoRA adapter fine-tuned on top of Qwen3-4B Thinking with the following components:
+DeepMath uses a LoRA adapter fine-tuned on top of Qwen3-4B Thinking with the following components:
 
 - **Agent Interface:** Outputs special tokens for Python code execution during reasoning
 - **Executor:** Sandboxed Python environment with allow-listed modules