Can you run DeepSeek V4 Flash DSpark locally?

DeepSeek V4 family · Jun 2026 (DSpark attach) · 284B parameters (13B activated per token) · Hugging Face model card

How much VRAM does DeepSeek V4 Flash DSpark need at each quantization?

DeepSeek V4 Flash DSpark needs 187.8 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

Official: not a new model. Same Flash arch keys. VRAM follows 284B resident, not safetensors.total/1e9.

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (43 layers, 1 KV heads, 512 head dim). Source: HF-verified 2026-09-21 via api (gated=false private=false safetensors.total=165265454782) + config.json repo=deepseek-ai/DeepSeek-V4-Flash-DSpark@62af8fffb2f7030cac4de2f0169f5b8d1101b646 model_type=deepseek_v4 layers=43 hidden=4096 heads=64 kv_heads=1 head_dim=512 ctx=1048576 n_routed_experts=256 num_experts_per_tok=6 n_shared_experts=1 sliding_window=128 license=mit. Vendor README table: total=284B active=13B precision=fp4_fp8_mixed. VRAM GB are T08 documented calculations from resident total, not measurements. No tok/s invented. Official: DSpark is not a new model.

Which GPUs can run DeepSeek V4 Flash DSpark locally?

At Q4_K_M with a 4k context, DeepSeek V4 Flash DSpark needs 187.8 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs DeepSeek V4 Flash DSpark comfortably (25%+ VRAM headroom)

Minimum GPUs that fit DeepSeek V4 Flash DSpark at Q4_K_M

These GPUs hold the model but leave little headroom — keep contexts short.

Needs 2+ GPUs to run DeepSeek V4 Flash DSpark

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 187.8 GB requirement. See our multi-GPU guide for setup.

Can a Mac run DeepSeek V4 Flash DSpark?

Yes — these Apple Silicon machines fit DeepSeek V4 Flash DSpark at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Which pre-built systems can run DeepSeek V4 Flash DSpark?

These mini PCs and workstations from our database fit DeepSeek V4 Flash DSpark at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

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