Last updated 03-26-2024
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DeciCoder
Experience the future of code completion with DeciCoder-1b, a powerful AI model from Deci, brought to you by Hugging Face. Designed to assist developers in writing Python, Java, and JavaScript code, DeciCoder-1b has been meticulously trained on the Starcoder Training Dataset and leverages advanced techniques such as Grouped Query Attention and Fill-in-the-Middle training objectives. This model offers an expansive context window of 2048 tokens and excels in auto-regressive language tasks. By utilizing Deci's proprietary AutoNAC technology, it achieves optimal performance and efficiency. Licensed under Apache 2.0, it assures openness and encourages collaboration. Dive into the detailed model card for in-depth insights and learn how to use DeciCoder-1b with the help of provided code snippets. Join the AI revolution.
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Comprehensive Model Card: Detailed insights into the model's architecture, limitations, and usage.
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Advanced Attention Mechanism: Uses Grouped Query Attention for enhanced focus on relevant tokens.
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Wide Context Window: Supports up to 2048 tokens, enabling more accurate code completion in larger contexts.
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Training on Quality Dataset: DeciCoder-1b is thoroughly trained on Python, Java, and JavaScript code subsets from the Starcoder Training Dataset.
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Open-Source Licensing: Licensed under Apache 2.
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0, promoting transparency and widespread use in the AI community.
1) What is DeciCoder-1b?
eciCoder-1b is an auto-regressive language model with 1 billion parameters that specializes in code completion for Python, Java, and JavaScript.
2) What are the potential uses of DeciCoder-1b?
ou can use DeciCoder-1b for single/multiline code completions within a context window of up to 2048 tokens.
3) What dataset was used to train DeciCoder-1b?
eciCoder-1b has been trained on the Python, Java, and JavaScript subsets of the Starcoder Training Dataset.
4) What technology underlies the DeciCoder-1b model's architecture?
he model uses a proprietary technology called AutoNAC, developed by Deci, for its neural architecture search.
5) Under what license is DeciCoder-1b distributed?
eciCoder-1b is licensed under the Apache 2.
0
license, allowing for its use in both private and commercial projects.
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