LLMDeepSeekmit

deepseek-ai/DeepSeek-V4-Flash-0731

deepseek-ai/DeepSeek-V4-Flash-0731

Parameters

304.2B

Context

1024K

Downloads

1M

Likes

3.2K

Architecture

deepseek_v4

43 layers · 1 KV heads · head 512 · hidden 4096

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
722.3 GB
RAM 1083.4 · Disk 922.9
770.2 GB
RAM 1155.2 · Disk 948.9
887.5 GB
RAM 1331.2 · Disk 987.9
FP88bit
363.9 GB
RAM 545.8 · Disk 480.9
395.5 GB
RAM 593.2 · Disk 506.9
496.5 GB
RAM 744.8 · Disk 545.9
INT88bit
363.9 GB
RAM 545.8 · Disk 480.9
395.5 GB
RAM 593.2 · Disk 506.9
496.5 GB
RAM 744.8 · Disk 545.9
AWQ4bit
191.4 GB
RAM 287.1 · Disk 268.3
215.2 GB
RAM 322.8 · Disk 294.3
308.4 GB
RAM 462.6 · Disk 333.3
GPTQ4bit
193.7 GB
RAM 290.5 · Disk 271.0
217.5 GB
RAM 326.3 · Disk 297.0
310.8 GB
RAM 466.3 · Disk 336.0
GGUF4bit
198.2 GB
RAM 297.2 · Disk 276.5
222.2 GB
RAM 333.3 · Disk 302.5
315.7 GB
RAM 473.6 · Disk 341.5

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 104.5 tok/s

Effective production throughput ≈ 73.1 tok/s

score 0.2706

Cheapest

8× RTX A6000

384 GB VRAM

$1,678/mo

≈ 16.7 tok/s

Effective production throughput ≈ 11.7 tok/s

score 0.492

Deploy on vast ↗
Performance

4× H200 SXM

564 GB VRAM

$10,220/mo

≈ 78.4 tok/s

Effective production throughput ≈ 54.9 tok/s

score 0.3711

Min Complexity

2× H200 SXM

282 GB VRAM

$5,110/mo

≈ 52.3 tok/s

Effective production throughput ≈ 36.6 tok/s

score 0.5924

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