DeepSeek V4 Pro 0813 — Hardware Requirements & GPU Compatibility
ChatDeepSeek V4 Pro 0813 is a 1650.5B-parameter open language model from DeepSeek in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 990.63 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- DeepSeek
- Family
- DeepSeek V4
- Parameters
- 1650.5B
- Architecture
- DeepseekV4ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-08-13
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does DeepSeek V4 Pro 0813 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| IQ3_XXS | 3.10 | 639.9 GB | 654.2 GB | 639.57 GB | Importance-weighted 3-bit |
| Q2_K | 3.40 | 701.8 GB | 716.1 GB | 701.46 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 805.0 GB | 819.3 GB | 804.62 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 825.6 GB | 839.9 GB | 825.25 GB | 4-bit legacy quantization |
| Q4_1 | 4.50 | 928.7 GB | 943.0 GB | 928.41 GB | 4-bit legacy quantization with offset |
| Q4_K_Mest. | 4.80 | 990.6 GB | 1004.9 GB | 990.30 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 1176.3 GB | 1190.6 GB | 1175.98 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 1362.0 GB | 1376.3 GB | 1361.66 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 1650.8 GB | 1665.1 GB | 1650.50 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 3301.3 GB | 3315.6 GB | 3301.00 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run DeepSeek V4 Pro 0813?
Q4_K_M · 990.6 GBDeepSeek V4 Pro 0813 (Q4_K_M) requires 990.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1288+ GB is recommended. Using the full 1049K context window can add up to 14.3 GB, bringing total usage to 1004.9 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Where to Download DeepSeek V4 Pro 0813
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does DeepSeek V4 Pro 0813 need?
DeepSeek V4 Pro 0813 requires 990.6 GB of VRAM at Q4_K_M, or 3301.3 GB at BF16. Full 1049K context adds up to 14.3 GB (1004.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 1650.5B × 4.8 bits ÷ 8 = 990.3 GB
KV Cache + Overhead ≈ 0.3 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 14.6 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M990.6 GBQ4_K_M + full context1004.9 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Pro 0813?
No — DeepSeek V4 Pro 0813 requires at least 639.9 GB at IQ3_XXS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for DeepSeek V4 Pro 0813?
For DeepSeek V4 Pro 0813, Q4_K_M (990.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (1176.3 GB) provides better quality if you have the VRAM. The smallest option is IQ3_XXS at 639.9 GB.
VRAM requirement by quantization
IQ3_XXS639.9 GBQ3_K_M805.0 GBQ4_K_M ★990.6 GBQ5_K_M1176.3 GBQ6_K1362.0 GBBF163301.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Pro 0813 on a Mac?
DeepSeek V4 Pro 0813 requires at least 639.9 GB at IQ3_XXS, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run DeepSeek V4 Pro 0813 locally?
Yes — DeepSeek V4 Pro 0813 can run locally on consumer hardware. At Q4_K_M quantization it needs 990.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of DeepSeek V4 Pro 0813?
At Q4_K_M, the download is about 990.30 GB. The full-precision BF16 version is 3301.00 GB. The smallest option (IQ3_XXS) is 639.57 GB.
- Which GPUs can run DeepSeek V4 Pro 0813?
No single consumer GPU has enough VRAM to run DeepSeek V4 Pro 0813 at Q4_K_M (990.6 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813 requires at least 990.6 GB at Q4_K_M, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.