Deepseek-Coder-V2

Deepseek Coder V2 236B Base - Details

Last update on 2025-05-20

Deepseek Coder V2 236B Base is a large language model developed by Deepseek, a company, featuring 236b parameters. It is released under the Deepseek License Agreement (DEEPSEEK-LICENSE) and MIT License (MIT).

Description of Deepseek Coder V2 236B Base

Deepseek Coder V2 236B Base is an open-source Mixture-of-Experts (MoE) code language model designed to achieve performance comparable to GPT4-Turbo in code-specific tasks. It builds on an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens of pre-training, significantly enhancing coding and mathematical reasoning capabilities while maintaining strong general language performance. The model supports 338 programming languages and features a 128K context length, making it highly versatile for complex coding and reasoning tasks.

Parameters & Context Length of Deepseek Coder V2 236B Base

236b 128k

Deepseek Coder V2 236B Base features 236b parameters, placing it in the very large models category, which enables advanced performance for complex coding and reasoning tasks but requires significant computational resources. Its 128k context length falls into the very long contexts range, allowing it to process extensive texts efficiently while demanding higher memory and processing power. This combination makes the model highly capable for intricate code analysis and large-scale language tasks.
- Parameter Size: 236b
- Context Length: 128k

Possible Intended Uses of Deepseek Coder V2 236B Base

code generation code completion code refactoring code insertion

Deepseek Coder V2 236B Base is a large language model designed for code generation, code completion, and code insertion, with possible applications in software development, automation, and programming assistance. Its 236b parameter size and 128k context length suggest it could handle complex coding tasks, but possible uses may vary depending on specific requirements and constraints. Possible applications might include generating code snippets, enhancing existing codebases, or integrating code into larger systems, though these possible uses require thorough testing and validation. The model’s open-source nature and support for 338 programming languages further expand its possible utility in diverse coding scenarios.
- code generation
- code completion
- code insertion

Possible Applications of Deepseek Coder V2 236B Base

large language model automated documentation multi-language project development collaborative code insertion programming education

Deepseek Coder V2 236B Base is a large-scale language model with 236b parameters and a 128k context length, making it a possible tool for tasks requiring advanced coding and reasoning capabilities. Possible applications could include generating complex code structures, assisting with code refactoring, or supporting multi-language project development. It might also serve as a possible resource for creating automated documentation or enhancing code insertion in collaborative environments. Possible uses could extend to educational platforms for teaching programming concepts or optimizing script generation for specific workflows. However, these possible applications require thorough evaluation to ensure alignment with specific needs and constraints.
- code generation
- code completion
- code insertion
- multi-language project development

Quantized Versions & Hardware Requirements of Deepseek Coder V2 236B Base

24 vram

Deepseek Coder V2 236B Base’s medium q4 version balances precision and performance, requiring a GPU with at least 24GB VRAM for efficient operation, though larger models may demand more resources. This version is suitable for users seeking a compromise between speed and accuracy, but deployment depends on system capabilities.
- fp16, q2, q3, q4, q5, q6, q8

Conclusion

Deepseek Coder V2 236B Base is an open-source Mixture-of-Experts (MoE) code language model with 236b parameters and a 128k context length, designed for advanced coding and reasoning tasks while maintaining general language performance. It supports 338 programming languages and is released under the Deepseek License Agreement (DEEPSEEK-LICENSE) and MIT License (MIT), making it a versatile tool for code generation, completion, and insertion.

References

Huggingface Model Page
Ollama Model Page

Maintainer
Parameters & Context Length
  • Parameters: 236b
  • Context Length: 131K
Statistics
  • Huggingface Likes: 74
  • Huggingface Downloads: 945
Intended Uses
  • Code Generation
  • Code Completion
  • Code Insertion
Languages
  • English