LLMQwenMIT

Qwen3.5 397B-A17B

Qwen/Qwen3.5-397B-A17B

Parameters

397B

Context

256K

Downloads

315.7K

Likes

1.6K

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
940.4 GB
RAM 1410.6 · Disk 1192.6
998.7 GB
RAM 1498.0 · Disk 1218.6
1138.1 GB
RAM 1707.1 · Disk 1257.6
FP88bit
472.7 GB
RAM 709.0 · Disk 615.8
509.7 GB
RAM 764.5 · Disk 641.8
627.8 GB
RAM 941.8 · Disk 680.8
INT88bit
472.7 GB
RAM 709.0 · Disk 615.8
509.7 GB
RAM 764.5 · Disk 641.8
627.8 GB
RAM 941.8 · Disk 680.8
AWQ4bit
247.6 GB
RAM 371.4 · Disk 338.2
274.4 GB
RAM 411.5 · Disk 364.2
382.3 GB
RAM 573.4 · Disk 403.2
GPTQ4bit
250.5 GB
RAM 375.8 · Disk 341.8
277.4 GB
RAM 416.1 · Disk 367.8
385.5 GB
RAM 578.2 · Disk 406.8
GGUF4bit
256.4 GB
RAM 384.5 · Disk 349.0
283.5 GB
RAM 425.3 · Disk 375.0
391.9 GB
RAM 587.8 · Disk 414.0

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 80.1 tok/s

Effective production throughput ≈ 56.1 tok/s

score 0.2846

Cheapest

8× RTX A6000

384 GB VRAM

$1,806/mo

≈ 12.8 tok/s

Effective production throughput ≈ 9 tok/s

score 0.5305

Deploy on vast ↗
Performance

4× H200 SXM

564 GB VRAM

$10,220/mo

≈ 60.1 tok/s

Effective production throughput ≈ 42.1 tok/s

score 0.3991

Min Complexity

2× H200 SXM

282 GB VRAM

$5,110/mo

≈ 40 tok/s

Effective production throughput ≈ 28 tok/s

score 0.5426

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