d9ed6744cf506cc389f65ef4a9a2c39453d8a364
Model: Vedika35/Vedika_coder Source: Original Platform
license, license_name, license_link, language, base_model, pipeline_tag, library_name, tags
| license | license_name | license_link | language | base_model | pipeline_tag | library_name | tags | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| other | qwen-research | https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE |
|
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text-generation | transformers |
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Vedika Coder
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.
Description