Qwen

Qwen/Qwen3.6-27B-FP8

Qwen/Qwen3.6-27B-FP8

Parameters

21.8B

Context

256K

Downloads

8.7M

Likes

345

Architecture

qwen3_5

64 layers · 4 KV heads · head 256 · hidden 5120

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
60.1 GB
RAM 90.2 · Disk 102.3
97.4 GB
RAM 146.1 · Disk 128.3
308.0 GB
RAM 462.0 · Disk 167.3
FP88bit
34.5 GB
RAM 51.7 · Disk 70.7
70.5 GB
RAM 105.8 · Disk 96.7
280.0 GB
RAM 420.0 · Disk 135.7
INT88bit
34.5 GB
RAM 51.7 · Disk 70.7
70.5 GB
RAM 105.8 · Disk 96.7
280.0 GB
RAM 420.0 · Disk 135.7
AWQ4bit
22.1 GB
RAM 33.2 · Disk 55.4
57.6 GB
RAM 86.4 · Disk 81.4
266.5 GB
RAM 399.8 · Disk 120.4
GPTQ4bit
22.3 GB
RAM 33.4 · Disk 55.6
57.8 GB
RAM 86.7 · Disk 81.6
266.7 GB
RAM 400.1 · Disk 120.6
GGUF4bit
22.6 GB
RAM 33.9 · Disk 56.0
58.1 GB
RAM 87.2 · Disk 82.0
267.1 GB
RAM 400.6 · Disk 121.0

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,178/mo

≈ 318.1 tok/s

Effective production throughput ≈ 222.7 tok/s

score 0.6815

Deploy on vast ↗
Cheapest

4× RTX 4070S Ti

64 GB VRAM

$198/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.5558

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 1458.7 tok/s

Effective production throughput ≈ 1021.1 tok/s

score 0.2197

Min Complexity

1× A100 80GB

80 GB VRAM

$876/mo

≈ 193.6 tok/s

Effective production throughput ≈ 135.5 tok/s

score 0.6784

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

A100 80GB

80 GB VRAM

$876

/mo · vast

H100 SXM

80 GB VRAM

$1,178

/mo · vast

H200 SXM

141 GB VRAM

$2,555

/mo · lambda

B200

180 GB VRAM

$3,013

/mo · vast

B200 SXM

180 GB VRAM

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