Yi Coder 9B Base - Details

Yi Coder 9B Base, developed by 01-Ai, is a large language model with 9b parameters released under the Apache-2.0 license. It is designed to deliver state-of-the-art coding performance with fewer than 10 billion parameters.

A series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters. It excels in long-context understanding with a maximum context length of 128K tokens. Designed for efficient and high-quality code generation and analysis.

Yi Coder 9B Base features 9b parameters, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 128k context length enables advanced long-context understanding, making it suitable for handling extensive codebases or lengthy documents, though it demands higher computational resources. This combination allows for robust coding capabilities while maintaining scalability.
- Parameter Size: 9b
- Context Length: 128k

Yi Coder 9B Base is a large language model designed for code generation, coding assistance, and code understanding, with possible uses in areas like automated code drafting, debugging support, or analyzing complex code structures. Its 9b parameter size and 128k context length suggest it could handle intricate programming tasks, though possible applications in these domains require further exploration to confirm effectiveness. Potential uses might include streamlining development workflows, enhancing code quality through suggestions, or aiding in reverse-engineering or documentation. However, possible benefits and limitations should be thoroughly investigated before deployment.
- code generation
- coding assistance
- code understanding

Yi Coder 9B Base is a large language model with possible applications in areas like automated code drafting, debugging support, or analyzing complex code structures. Possible uses could include streamlining development workflows, enhancing code quality through suggestions, or aiding in reverse-engineering or documentation. Potential applications might also involve generating code snippets for specific tasks or assisting in understanding large codebases. However, possible benefits in these domains require thorough evaluation to ensure alignment with specific needs. Each application must be thoroughly evaluated and tested before use.
- code generation
- coding assistance
- code understanding

Yi Coder 9B Base in its medium q4 version requires a GPU with at least 16GB VRAM and 32GB system memory for efficient operation, balancing precision and performance. This configuration ensures compatibility with most modern GPUs while maintaining reasonable computational demands. Possible applications of this version may vary depending on the specific use case, so users should verify their hardware meets these requirements.
fp16, q2, q3, q4, q5, q6, q8

Yi Coder 9B Base is an open-source large language model with 9b parameters and a 128k token context length, designed for advanced coding tasks under the Apache-2.0 license. It balances performance and efficiency, making it suitable for code generation, analysis, and assistance while requiring careful evaluation for specific applications.

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