LLMs · DeepSeek
DeepSeek V4 Pro (1.6T-A49B)
- Parameters
- 1,651B (49.0B active)
- Architecture
- Mixture of experts
- Max context
- 1,024K tokens
- License
- mit
- Released
- 2026-08
How to run it
On a mobile device
DeepSeek V4 Pro (1.6T-A49B) is too big for a device like yours: it needs more memory than the device has. Models that run on mobile devices.
Ollama
Ollama offers this only as a cloud model (it runs on Ollama’s servers, not your machine). To run it locally, use the GGUF files below.
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/unsloth/DeepSeek-V4-Pro-0813-GGUF (opens in a new tab)
ollama run hf.co/unsloth/DeepSeek-V4-Pro-0813-GGUFOriginal weights · Hugging Face
Full-precision files from DeepSeek, for fine-tuning, vLLM, Transformers.
huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813 (opens in a new tab)
Apps that run DeepSeek V4 Pro (1.6T-A49B)
Our pick for each kind of computer, assuming the model fits in its memory. Pick your own GPU or device in the Model Finder for an exact answer.
| App | Type | Opens it as | Systems | Engine | Start |
|---|---|---|---|---|---|
| LM Studio | Desktop app | GGUF | macOSWindowsLinux | Open in LM Studio | |
| Ollama | CLI + API | GGUF from Hugging Face | macOSWindowsLinux |
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| llama.cpp | CLI + API | GGUF | macOSWindowsLinux |
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| Jan | Desktop app | GGUF | macOSWindowsLinux | Open in Jan | |
| vLLM | Server | Original weights | WSLWindowsLinux |
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| SGLang | Server | Original weights | WSLWindowsLinux |
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| Docker Model Runner | CLI + API | GGUF | macOSWindowsLinux |
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| Lemonade | Desktop app | GGUF | macOSWindowsLinux |
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| Unsloth Desktop | Desktop app | GGUF | macOSWindowsLinux | Open in Unsloth Desktop | |
| Atomic Chat | Desktop app | GGUF | macOSWindowsLinux | Open in Atomic Chat | |
| Pi | Coding agent | GGUF | macOSWindowsLinux | ||
| Hermes Agent | Assistant | GGUF | macOSWSLWindowsLinux | ||
| OpenClaw | Assistant | GGUF | macOSWSLWindowsLinux | ||
| OpenCode | Coding agent | GGUF | macOSWindowsLinux | ||
| Codex CLI | Coding agent | GGUF | macOSWSLWindowsLinux | ||
| OpenHands | Coding agent | GGUF | macOSWSLWindowsLinux | ||
| Zed | Coding agent | GGUF | macOSWindowsLinux | ||
| Cline | Coding agent | GGUF | macOSWindowsLinux | ||
| Open Interpreter | Coding agent | GGUF | macOSWindowsLinux | ||
| Goose | Coding agent | GGUF | macOSWindowsLinux | ||
| Aider | Coding agent | GGUF | macOSWindowsLinux | ||
| Crush | Coding agent | GGUF | macOSWindowsLinux | ||
| Qwen Code | Coding agent | GGUF | macOSWindowsLinux | ||
| Kilo Code | Coding agent | GGUF | macOSWindowsLinux | ||
| Open WebUI | Assistant | GGUF | macOSWindowsLinux | ||
| Khoj | Assistant | GGUF | macOSWindowsLinux | ||
| Letta | Assistant | GGUF | macOSWindowsLinux | ||
| KoboldCpp | Desktop app | GGUF | macOSWindowsLinux | Get KoboldCpp | |
| Text Generation WebUI | Desktop app | GGUF | macOSWindowsLinux | Get Text Generation WebUI | |
| llamafile | CLI + API | GGUF | macOSWindowsLinux | Get llamafile | |
| Msty Studio | Desktop app | GGUF | macOSWindowsLinux | Open in Msty Studio | |
| Llama (macOS) | Desktop app | GGUF | macOS | Open in Llama (macOS) | |
| RecurseChat | Desktop app | GGUF | macOS | Open in RecurseChat | |
| node-llama-cpp | Library | GGUF | macOSWindowsLinux | Get node-llama-cpp | |
| Continue | Coding agent | GGUF | macOSWindowsLinux | ||
| SillyTavern | Assistant | GGUF | macOSWindowsLinux | ||
| LibreChat | Assistant | GGUF | macOSWindowsLinux | ||
| Cherry Studio | Assistant | GGUF | macOSWindowsLinux | ||
| Chatbox | Assistant | GGUF | macOSWindowsLinux | ||
| PrivateGPT | Assistant | GGUF | macOSWindowsLinux | ||
| PocketPal AI | Mobile app | GGUF | iOSAndroid | App Store Google Play | |
| ChatterUI | Mobile app | GGUF | Android | Download the APK | |
| LLM Farm | Mobile app | GGUF | iOS |
Memory needed
Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps. Try another context length.
| Quantization | Quality | Weights | Total at 8K context | Total at 32K context | Download |
|---|---|---|---|---|---|
Q2_K |
Low | 660 GB | 661 GB | 663 GB | GGUF files (opens in a new tab) |
Q3_K_M |
Low | 809 GB | 810 GB | 811 GB | GGUF files (opens in a new tab) |
Q4_K_M |
Good | 1,007 GB | 1,008 GB | 1,009 GB | GGUF (UD-Q4_K_XL) · folder (opens in a new tab) |
Q5_K_M |
High | 1,172 GB | 1,173 GB | 1,175 GB | GGUF files (opens in a new tab) |
Q6_K |
High | 1,353 GB | 1,355 GB | 1,356 GB | GGUF files (opens in a new tab) |
Q8_0 |
Very high | 1,750 GB | 1,751 GB | 1,752 GB | GGUF (UD-Q8_K_XL) · folder (opens in a new tab) |
F16 |
Full | 3,301 GB | 3,302 GB | 3,304 GB | Original weights (opens in a new tab) |
Best hardware for DeepSeek V4 Pro (1.6T-A49B)
None. No single GPU or device in our catalog runs this model on its own; it needs several GPUs working together.
Run it on a cluster
Devices that can’t run DeepSeek V4 Pro (1.6T-A49B) alone can run it together. These example clusters do:
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.