About
What is DeepSeek-Coder-V2?
DeepSeek-Coder-V2 is an advanced open-source Mixture-of-Experts (MoE) code language model, designed to rival the performance of leading closed-source models such as GPT4-Turbo in code-specific tasks. Built upon an intermediate checkpoint of DeepSeek-V2 and further pre-trained with an additional 6 trillion tokens, it significantly enhances coding and mathematical reasoning while maintaining strong general language capabilities. The model supports an extensive range of 338 programming languages and features an extended context length of 128K. It offers functionalities for code generation, code completion, and code fixing, demonstrating superior performance in various benchmarks. DeepSeek-Coder-V2 is available in 16B and 236B parameter versions, including base and instruct models, and can be accessed via HuggingFace, an OpenAI-compatible API, or run locally.
Best used for
Ideal for developers who need to accelerate code development, improve code quality, and enhance mathematical reasoning within their projects. Especially valuable for those working with a diverse set of programming languages and requiring high-performance code intelligence comparable to closed-source models.
Common actions
collaborationautomated workflowdeepfakelow-code/no-codeopen-sourcegithub copilotworkflows"AI Agents"face swapping
Capabilities
Key features
- Code generation
- Code completion
- Code fixing
- Mathematical reasoning
- 128K context length
- 338 programming languages
- MoE architecture
Integrations
Not yet documentedPricing & Plans
Open Source · Usage-based
FAQs
What are the different versions of DeepSeek-Coder-V2 available?
DeepSeek-Coder-V2 is released in two main versions: a 16B parameter 'Lite' model and a 236B parameter model. Both are available as base and instruct variants, offering different scales of performance and resource requirements for various use cases.
How does DeepSeek-Coder-V2 compare to closed-source models like GPT4-Turbo?
DeepSeek-Coder-V2 achieves performance comparable to, and in some benchmarks, superior to closed-source models such as GPT4-Turbo, Claude 3 Opus, and Gemini 1.5 Pro, particularly in coding and mathematical reasoning tasks. It aims to break the barrier of closed-source models in code intelligence.
Can DeepSeek-Coder-V2 be used for commercial purposes?
Yes, the DeepSeek-Coder-V2 series, including both Base and Instruct models, supports commercial use. The code repository itself is licensed under the MIT License, while the models are subject to a separate Model License.
What is the context window length supported by DeepSeek-Coder-V2?
DeepSeek-Coder-V2 extends its context length significantly, supporting up to 128K tokens. This allows the model to handle much larger codebases and more complex prompts, improving its ability to understand and generate relevant code.
How can I access the DeepSeek-Coder-V2 models?
The models can be downloaded from HuggingFace for local inference. Additionally, DeepSeek provides an OpenAI-compatible API through its platform for pay-as-you-go usage, and you can interact with a chat version on their official website.
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