DeepSeek-Pro-0813

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What DeepSeek-Pro-0813 is

Model Overview Description: The NVIDIA DeepSeek-V4-Pro-0813-NVFP4 model is the quantized version of DeepSeek AI's DeepSeek-V4-Pro-0813 model, an autoregressive Mixture-of-Experts language model that uses an optimized Transformer architecture with hybrid attention (Compressed Sparse Attention and Heavily Compressed Attention) and Manifold-Constrained Hyper-Connections. DeepSeek-V4-Pro-0813 is the official DeepSeek-V4-Pro release with enhanced agentic capabilities, and includes DeepSeek's DSpark speculative decoding module in the same checkpoint. For more information, refer to the DeepSeek-V4-Pro-0813 model card. The NVIDIA DeepSeek-V4-Pro-0813-NVFP4 model is quantized with Model Optimizer. This model is ready for commercial or non-commercial use. <br Third-Party Community Consideration This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA (DeepSeek-V4-Pro-0813) Model Card. License/Terms of Use: MIT Deployment Geography: Global <br Use Case: DeepSeek V4 is well-suited for advanced reasoning, agentic AI applications, tool use scenarios, and complex problem-solving in domains such as mathematics, software engineering, and enterprise AI assistants. <br Release Date: Hugging Face 08/27/2026 via https://huggingface.co/nvidia/DeepSeek-V4-Pro-0813-NVFP4 <br References Nvidia Model Optimizer: https://github.com/NVIDIA/Model-Optimizer Model Architecture: Architecture Type: Transformers <br Network Architecture: DeepseekV4ForCausalLM — Mixture-of-Experts (MoE) with Hybrid Attention (Compressed Sparse Attention + Heavily Compressed Attention) <br Number of Model Parameters: 1.65T in total and 49B activated <br This model was developed based on DeepSeek-V4-Pro-0813 <br Input: Input Type(s): Text <br Input Format(s): String <br Input Parameters: One-Dimensional (1D): Sequences <br Other Properties Related to Input: Supports multi-turn conversations with system prompts, user messages, and assistant responses. Maximum context length of 1 million tokens. Uses a custom encoding pipeline (encodingdsv4) with reasoning effort levels (low, high, max). <br Output:

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

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Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nvidia-deepseek-pro-0813 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-deepseek-pro-0813 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nvidia-deepseek-pro-0813","messages":[{"role":"user","content":"Hello"}]}'

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