DeepSeek Prover v2 671B — Hardware Requirements & GPU Compatibility
ChatDeepSeek Prover v2 671B is a 684.5B-parameter open language model from DeepSeek in the DeepSeek family. It supports a context window of up to 163,840 tokens. At BF16 it needs about 1372.94 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- DeepSeek
- Family
- DeepSeek
- Parameters
- 684.5B
- Architecture
- DeepseekV3ForCausalLM
- Context Length
- 163,840 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2025-04-30
Get Started
HuggingFace
How Much VRAM Does DeepSeek Prover v2 671B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 1372.9 GB | 1655.9 GB | 1369.06 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run DeepSeek Prover v2 671B?
BF16 · 1372.9 GBDeepSeek Prover v2 671B (BF16) requires 1372.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1785+ GB is recommended. Using the full 164K context window can add up to 283.0 GB, bringing total usage to 1655.9 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Related Models
Frequently Asked Questions
- How much VRAM does DeepSeek Prover v2 671B need?
DeepSeek Prover v2 671B requires 1372.9 GB of VRAM at BF16. Full 164K context adds up to 283.0 GB (1655.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 684.5B × 16 bits ÷ 8 = 1369.1 GB
KV Cache + Overhead ≈ 3.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 286.8 GB (at full 164K context)
VRAM usage by quantization
BF161372.9 GBBF16 + full context1655.9 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek Prover v2 671B?
No — DeepSeek Prover v2 671B requires at least 1372.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run DeepSeek Prover v2 671B on a Mac?
DeepSeek Prover v2 671B requires at least 1372.9 GB at BF16, 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 Prover v2 671B locally?
Yes — DeepSeek Prover v2 671B can run locally on consumer hardware. At BF16 quantization it needs 1372.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of DeepSeek Prover v2 671B?
At BF16, the download is about 1369.06 GB.
- Which GPUs can run DeepSeek Prover v2 671B?
No single consumer GPU has enough VRAM to run DeepSeek Prover v2 671B at BF16 (1372.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek Prover v2 671B?
DeepSeek Prover v2 671B requires at least 1372.9 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.