Deepseek Coder 6.7B Base
The Deepseek Coder 6.7B Base is a 6.7b parameter model developed by Deepseek, licensed under the Deepseek License Agreement (DEEPSEEK-LICENSE) and the Deepseek License Agreement (DEEPSEEK-LICENSE). It specializes in state-of-the-art code completion with a 16K context window.
Description of Deepseek Coder 6.7B Base
The Deepseek Coder series is a set of code language models trained from scratch on 2T tokens, with 87% code and 13% natural language in English and Chinese. It offers multiple sizes ranging from 1.3B to 33B parameters, enabling project-level code completion, infilling, and achieving state-of-the-art performance across multiple programming languages and benchmarks.
Parameters & Context Length of Deepseek Coder 6.7B Base
The Deepseek Coder 6.7B Base model features a 6.7b parameter size, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 16k context length falls into the long context range, enabling it to handle extended text sequences and complex code structures while requiring more computational resources compared to shorter contexts. This combination makes it well-suited for project-level code completion and tasks demanding extensive contextual understanding.
- Parameter Size: 6.7b
- Context Length: 16k
Possible Intended Uses of Deepseek Coder 6.7B Base
The Deepseek Coder 6.7B Base model presents possible applications in areas such as code completion, code insertion, and repository-level code completion, leveraging its monolingual support for English and Chinese. These possible uses could involve assisting developers with writing or modifying code, generating snippets within larger projects, or analyzing code structures at a repository level. However, the effectiveness of these possible uses would depend on specific implementation details, contextual requirements, and the need for further validation. The model’s design suggests it could be adapted for tasks requiring language-specific code understanding, but thorough exploration would be necessary to confirm its suitability.
- code completion
- code insertion
- repository-level code completion
Possible Applications of Deepseek Coder 6.7B Base
The Deepseek Coder 6.7B Base model presents possible applications in areas such as code completion, code insertion, repository-level code completion, and code documentation generation, leveraging its monolingual support for English and Chinese. These possible uses could involve assisting developers with writing or modifying code, generating snippets within larger projects, analyzing code structures at a repository level, or creating contextual documentation for codebases. However, the possible effectiveness of these possible applications would depend on specific implementation details, contextual requirements, and the need for further validation. The model’s design suggests it could be adapted for tasks requiring language-specific code understanding, but thorough exploration would be necessary to confirm its suitability. Each possible application must be thoroughly evaluated and tested before deployment to ensure alignment with intended goals.
- code completion
- code insertion
- repository-level code completion
- code documentation generation
Quantized Versions & Hardware Requirements of Deepseek Coder 6.7B Base
The Deepseek Coder 6.7B Base model’s medium q4 version requires a GPU with at least 16GB VRAM for efficient operation, making it suitable for systems with mid-range graphics cards. This quantized version balances precision and performance, allowing deployment on hardware that may not support higher-parameter models. Users should verify their GPU’s VRAM and system memory (minimum 32GB RAM) to ensure compatibility. Additional considerations include adequate cooling and a power supply capable of handling the GPU’s demands.
- fp16, q2, q3, q4, q5, q6, q8
Conclusion
The Deepseek Coder 6.7B Base is a mid-scale code language model developed by Deepseek, featuring 6.7b parameters and a 16K context window, designed for advanced code completion and project-level tasks. It supports English and Chinese, operates under the Deepseek License Agreement, and balances performance with resource efficiency for moderate complexity tasks.