<h1>OpenCoder: Comprehensive Resources for Top-Tier Code Large Language Models</h1>
<p>OpenCoder is a family of advanced and open-access large language models (LLMs) specialized in code. The models are available in 1.5B and 8B base and chat variants, catering to both English and Chinese. Trained on an immense dataset of 2.5 trillion tokens, composed of 90% raw code and 10% code-related web data, OpenCoder achieves performance comparable to leading proprietary models.</p>
<h2>Key Features</h2>
<ul>
<li><strong>Model Weights</strong>: OpenCoder provides access to its model weights, allowing researchers and developers to integrate the model into their own applications.</li>
<li><strong>Inference Code</strong>: Detailed inference code is available, enabling users to leverage the models effectively.</li>
<li><strong>Reproducible Training Data</strong>: The training data used to develop OpenCoder is offered to the public, ensuring transparency and reproducibility in research.</li>
<li><strong>Detailed Training Protocols</strong>: Comprehensive documentation of the training process helps researchers understand and replicate the model’s development.</li>
<li><strong>Support for Multiple Languages</strong>: OpenCoder supports both English and Chinese, making it versatile for a wide range of coding tasks.</li>
</ul>
<h2>Benefits</h2>
<p>OpenCoder’s level of transparency and access to resources aims to empower the scientific community. By making these resources open and reproducible, OpenCoder enables researchers to innovate and advance the field of code AI. This initiative not only fosters scientific research but also ensures that developments in the domain are thoroughly verified and built upon solid foundations.</p>
<p>OpenCoder stands as a testament to the collaborative spirit of the AI research community, providing a robust and transparent platform for the continuous evolution of code-related large language models.</p>


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OpenCoder is a family of advanced, open-access large language models specialized in code, available in both English and Chinese. The models, trained on 2.5 trillion tokens, offer performance comparable to proprietary models. Key features include access to model weights, inference code, reproducible training data, and detailed training protocols. OpenCoder's transparency and resources aim to empower the scientific community by ensuring innovative, verified, and reproducible advancements in the field of code AI.