LLMQwenMIT

Qwen2.5 32B

Qwen/Qwen2.5-32B-Instruct

Parameters

32.5B

Context

128K

Downloads

1.7M

Likes

356

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
81.5 GB
RAM 122.3 · Disk 133.4
100.8 GB
RAM 151.1 · Disk 159.4
201.1 GB
RAM 301.7 · Disk 198.4
FP88bit
43.2 GB
RAM 64.9 · Disk 86.2
60.7 GB
RAM 91.1 · Disk 112.2
159.4 GB
RAM 239.1 · Disk 151.2
INT88bit
43.2 GB
RAM 64.9 · Disk 86.2
60.7 GB
RAM 91.1 · Disk 112.2
159.4 GB
RAM 239.1 · Disk 151.2
AWQ4bit
24.8 GB
RAM 37.2 · Disk 63.5
41.5 GB
RAM 62.2 · Disk 89.5
139.3 GB
RAM 208.9 · Disk 128.5
GPTQ4bit
25.1 GB
RAM 37.6 · Disk 63.8
41.7 GB
RAM 62.6 · Disk 89.8
139.5 GB
RAM 209.3 · Disk 128.8
GGUF4bit
25.5 GB
RAM 38.3 · Disk 64.4
42.2 GB
RAM 63.3 · Disk 90.4
140.1 GB
RAM 210.1 · Disk 129.4

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,172/mo

≈ 213.4 tok/s

Effective production throughput ≈ 149.4 tok/s

score 0.6277

Deploy on vast ↗
Cheapest

4× Tesla V100

64 GB VRAM

$84.4/mo

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

Effective production throughput ≈ 0 tok/s

score 0.571

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 978.3 tok/s

Effective production throughput ≈ 684.8 tok/s

score 0.2197

Min Complexity

1× RTX A6000

48 GB VRAM

$210/mo

≈ 48.9 tok/s

Effective production throughput ≈ 34.2 tok/s

score 0.6607

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX A6000

48 GB VRAM

$210

/mo · vast

L40S

48 GB VRAM

$341

/mo · vast

RTX PRO 6000 WS

48 GB VRAM

$482

/mo · vast

RTX PRO 6000 S

48 GB VRAM

$633

/mo · vast

A100 80GB

80 GB VRAM

$876

/mo · vast

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