25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
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---
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-Coder-3B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- code
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- chat
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---
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# Vedika Coder
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<img src="https://i.ibb.co/KjcX9NcF/Blue-and-Black-Minimalist-Brand-Logo-20260426-113813-0000.png" style="display: inline-block; vertical-align: center;"/>
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## Introduction
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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:
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- 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.
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- 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.
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