Powerful, Transparent, and Efficient Open-Source Code Models for Next-Generation Programming
- Code Completion and Autocompletion: Developers can integrate Seed-Coder models into IDEs or code editors to get intelligent suggestions and fill in code snippets automatically.
- Code Infilling (Fill-in-the-Middle): The model can generate missing parts of code within a larger code block, useful for refactoring or completing partial functions.
- Instruction-Following Coding Tasks: With the instruct variant, users can provide natural language instructions to generate or modify code accordingly.
Open Source
Free
- Model-Centric Data Processing: Uses LLMs to automatically filter and curate training data, reducing manual effort and improving data quality.
- Multiple Model Variants: Includes Seed-Coder-8B-Base (pretrained foundation), Seed-Coder-8B-Instruct (instruction-tuned for user intent), and Seed-Coder-8B-Reasoning (enhanced reasoning for complex tasks).
- Large Context Length: Supports up to 32,768 tokens, allowing handling of extensive code contexts.
- Open Source: Released under the MIT license, with full code and model weights available for download and modification.
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