初始化项目，由ModelHub XC社区提供模型

Model: Vedika35/Vedika_coder
Source: Original Platform

README.md

@@ -0,0 +1,25 @@
+---
+license: other
+license_name: qwen-research
+license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-Coder-3B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- code
+- chat
+---
+
+
+# Vedika Coder
+<img src="https://i.ibb.co/KjcX9NcF/Blue-and-Black-Minimalist-Brand-Logo-20260426-113813-0000.png" style="display: inline-block; vertical-align: center;"/>
+
+## Introduction
+
+Vedika Coder is the latest series of Code-Specific Vedika Coder language models (formerly known as Code Vedika). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:
+
+- Significantly improvements in **code generation**, **code reasoning** and **code fixing**. Base on the strong Vedika Coder, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. Vedika Coder has become the current state-of-the-art open-source codeLLM, with its coding abilities matching those of GPT-4o.
+- A more comprehensive foundation for real-world applications such as **Code Agents**. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies.