deepseek-ai/DeepSeek-V3
DeepSeek V3
DeepSeek-V3 is a large language model that provides comprehensive resources for model utilization, including technical specifications, pre-trained weights, and evaluation benchmarks. The project details the core transformer architecture, including parameter counts and multi-token prediction modules, while supporting native 8-bit floating-point quantization.
The repository offers extensive support for local and distributed inference through integration with multiple frameworks and engines. It includes documentation for deploying the model across various hardware configurations, such as GPUs and specialized accelerators, alongside guidance for environment setup and weight conversion. Users can access the model through a web-based chat interface, a programmatic API, or by downloading weights for local execution.
Features
- Model Weights - Links and instructions for accessing and downloading pre-trained model weights for various versions of the model.
- Inference Frameworks - A lightweight inference framework supporting single and multi-machine tensor parallel deployment with mixed-precision capabilities.
- Model Benchmarks - Performance benchmarks comparing the model against standard industry metrics and open-ended generation evaluation tasks.
- Model Architectures - A technical summary of the model architecture, including parameter counts, training data, and specifications for base and chat variants.
- Chat and API Access - Access to the model via a web-based chat interface or a programmatic API platform.