DeepSeek-Coder-V2-Lite-Base

An open-source code language model designed to enhance programming and mathematical reasoning abilities.

CommonProductProgrammingCode GenerationOpen Source

DeepSeek-Coder-V2 is an open-source expert mixture model (MoE) specifically designed for code language. Its performance is comparable to GPT4-Turbo. It excels in code-specific tasks while maintaining strong performance in general language tasks. Compared to DeepSeek-Coder-33B, the V2 version demonstrates significant improvements in code-related tasks and reasoning capabilities. Furthermore, it expands its supported programming languages from 86 to 338 and increases the context length from 16K to 128K.

Code Completion: Automatically completes code snippets based on user input.
Code Insertion: Inserts new code fragments into existing code to achieve specific functionalities.
Chat Completion: Supports conversation with users and generates code based on the dialogue content.
Multilingual Support: Extends support for programming languages from 86 to 338
catering to diverse programming needs.
Long Context Handling: Increases the context length from 16K to 128K
enabling processing of longer code sequences.
API Platform Compatibility: Offers an OpenAI-compatible API for convenient developer usage.
Local Running Support: Provides example code for performing model inference using Huggingface's Transformers locally.

Targeted at developers
programming educators
and researchers
DeepSeek-Coder-V2-Lite-Base can be utilized for code generation
teaching assistance

Developers leverage the model to rapidly generate code for a sorting algorithm.
Programming educators utilize the model as a teaching aid
demonstrating code implementation processes.
Researchers employ the model for experiments and evaluations of code generation tasks.

1. Visit the Huggingface model library page and download the DeepSeek-Coder-V2-Lite-Base model.
2. Install the Huggingface Transformers library for model loading and inference.
3. Utilize the provided example code for code completion
code insertion
or chat completion functionality testing.

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