Description
DeepSeek-V4-Pro-DSpark is part of the DeepSeek-V4 series, which includes highly efficient Mixture-of-Experts (MoE) language models. This model is designed to handle extensive context lengths of up to one million tokens, making it suitable for complex language tasks. The hybrid attention architecture combines Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) to enhance long-context efficiency. Additionally, the model incorporates manifold-constrained hyper-connections (mHC) to improve signal propagation stability across layers.
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The DeepSeek-V4-Pro-DSpark model is pre-trained on over 32 trillion diverse and high-quality tokens, followed by a comprehensive post-training pipeline. This pipeline includes independent cultivation of domain-specific experts through supervised fine-tuning (SFT) and reinforcement learning with guided policy optimization (GRPO), followed by unified model consolidation via on-policy distillation.
DeepSeek-V4-Pro-DSpark excels in various benchmarks, achieving top-tier performance in coding and reasoning tasks. It significantly bridges the gap with leading closed-source models on reasoning and agentic tasks. The model supports three reasoning effort modes: Non-think, Think High, and Think Max, catering to different use cases from routine tasks to complex problem-solving.
The model is available for download on platforms like Hugging Face and ModelScope, and it is licensed under the MIT License. Users can run the model locally with detailed instructions provided in the inference folder, which includes model weight conversion and interactive chat demos.
- CategoryAI Models & LLMs
- Pricing ModelFree
- DeploymentCloud, Self-hosted
- PlatformsWeb
DeepSeek-V4-Pro-DSpark Highlights
Hybrid Attention Architecture
Manifold-Constrained Hyper-Connections
Muon Optimizer
Million-Token Context Length
Mixture-of-Experts Model
Open Source
Three Reasoning Effort Modes
Comprehensive Post-Training Pipeline
Getting Started with DeepSeek-V4-Pro-DSpark
Access model page: Visit the Hugging Face model page
Authenticate: Log in to your Hugging Face account
Configure: Set up the model with desired parameters
Send prompts: Input your text prompts for processing
Fine-tune: Adjust model settings for specific tasks
DeepSeek-V4-Pro-DSpark's Use Cases
- Long-Context Processing
- Complex Problem Solving
- Routine Tasks
- Coding Benchmarks
- Reasoning Tasks
