Can you run DeepSeek V4.1 Flash (V4-Flash 0731 refresh) locally?
deepseek family · Sep 2026 · 284B parameters (13B activated per token) · Hugging Face model card
Sparse 284B/13B MoE. MXFP4 GGUF ~150 GB: dual DGX Spark or 256 GB unified memory; 128 GB machines need SSD expert streaming.
Minimum: 2x DGX Spark or 256 GB unified memory · Recommended: 256 GB Mac Studio; server-class for serving
How much VRAM does DeepSeek V4.1 Flash (V4-Flash 0731 refresh) need at each quantization?
DeepSeek V4.1 Flash (V4-Flash 0731 refresh) needs 187.4 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.
| Quantization | Bits / weight | Weights only | Total + KV @4k ctx | Total + KV @32k ctx |
|---|---|---|---|---|
| Q4_K_M | 4.8 | 170.4 GB | 187.4 GB | 187.4 GB |
| Q5_K_M | 5.7 | 202.4 GB | 222.6 GB | 222.6 GB |
| Q6_K | 6.6 | 234.3 GB | 257.7 GB | 257.7 GB |
| Q8_0 | 8.5 | 301.8 GB | 331.9 GB | 331.9 GB |
| FP16 | 16 | 568.0 GB | 624.8 GB | 624.8 GB |
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 (not applicable to this architecture). Source: DeepSeek V4-Flash (0731 refresh): 284B total / 13B active MoE, all-MoE backbone, CSA hybrid attention, 1M context. Sources: NGC catalog, recipes.vllm.ai, HF repo | run2 2026-09-12: repo safetensors total is 763B and likely includes multiple precision copies - single-format total not decomposable from the API; param count per DeepSeek announcement
Which GPUs can run DeepSeek V4.1 Flash (V4-Flash 0731 refresh) locally?
At Q4_K_M with a 4k context, DeepSeek V4.1 Flash (V4-Flash 0731 refresh) needs 187.4 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 V4.1 Flash (V4-Flash 0731 refresh) comfortably (25%+ VRAM headroom)
| GPU | VRAM | Bandwidth | Type | |
|---|---|---|---|---|
| AMD Instinct MI325X | 256 GB | 6000 GB/s | Data Center GPU | |
| AMD Instinct MI355X | 288 GB | 8000 GB/s | Data Center GPU | |
| NVIDIA B300 (Blackwell Ultra) | 288 GB | 8000 GB/s | Data Center GPU |
Minimum GPUs that fit DeepSeek V4.1 Flash (V4-Flash 0731 refresh) at Q4_K_M
These GPUs hold the model but leave little headroom — keep contexts short.
| GPU | VRAM | Bandwidth | Type | |
|---|---|---|---|---|
| AMD Instinct MI300X | 192 GB | 5300 GB/s | Data Center GPU | |
| NVIDIA B200 | 192 GB | 8000 GB/s | Data Center GPU |
Needs 2+ GPUs to run DeepSeek V4.1 Flash (V4-Flash 0731 refresh)
One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 187.4 GB requirement. See our multi-GPU guide for setup.
| GPU | VRAM | Bandwidth | Type | |
|---|---|---|---|---|
| H200 SXM | 141 GB ×2 | 4800 GB/s | Data Center GPU |
Can a Mac run DeepSeek V4.1 Flash (V4-Flash 0731 refresh)?
Yes — these Apple Silicon machines fit DeepSeek V4.1 Flash (V4-Flash 0731 refresh) 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.
| Apple Silicon | Unified memory | Usable by GPU (~75%) | Bandwidth |
|---|---|---|---|
| M3 Ultra (Mac Studio) | 512 GB | 384 GB | 819 GB/s |
Which pre-built systems can run DeepSeek V4.1 Flash (V4-Flash 0731 refresh)?
These mini PCs and workstations from our database fit DeepSeek V4.1 Flash (V4-Flash 0731 refresh) 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.
| System | Type | Memory | Usable for AI | Bandwidth | GPUs |
|---|---|---|---|---|---|
| HP Z8 Fury G5 (4x RTX 6000 Ada) | Workstation | 192 GB | 192 GB | 960 GB/s | 4 |