LLMQwen

Qwen/Qwen3-4B

Qwen/Qwen3-4B

Parameters

3.2B

Context

40K

Downloads

5.8M

Likes

716

Architecture

qwen3

36 layers · 8 KV heads · head 128 · hidden 2560

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
14.4 GB
RAM 32.0 · Disk 50.6
30.6 GB
RAM 45.8 · Disk 76.6
127.9 GB
RAM 191.8 · Disk 115.6
FP88bit
9.7 GB
RAM 32.0 · Disk 44.8
25.6 GB
RAM 38.4 · Disk 70.8
122.7 GB
RAM 184.1 · Disk 109.8
INT88bit
9.7 GB
RAM 32.0 · Disk 44.8
25.6 GB
RAM 38.4 · Disk 70.8
122.7 GB
RAM 184.1 · Disk 109.8
AWQ4bit
7.4 GB
RAM 32.0 · Disk 42.0
23.3 GB
RAM 34.9 · Disk 68.0
120.3 GB
RAM 180.4 · Disk 107.0
GPTQ4bit
7.4 GB
RAM 32.0 · Disk 42.1
23.3 GB
RAM 34.9 · Disk 68.1
120.3 GB
RAM 180.5 · Disk 107.1
GGUF4bit
7.5 GB
RAM 32.0 · Disk 42.1
23.4 GB
RAM 35.0 · Disk 68.1
120.4 GB
RAM 180.5 · Disk 107.1

GPU Recommendations

Best ValueBEST

1× RTX 5090

32 GB VRAM

$340/mo

≈ 928.5 tok/s

Effective production throughput ≈ 649.9 tok/s

score 0.6895

Deploy on vast ↗
Cheapest

1× RTX 3090

24 GB VRAM

$89.2/mo

≈ 485 tok/s

Effective production throughput ≈ 339.5 tok/s

score 0.6415

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 7958.5 tok/s

Effective production throughput ≈ 5571 tok/s

score 0.2197

Min Complexity

1× RTX 4090

24 GB VRAM

$190/mo

≈ 522.3 tok/s

Effective production throughput ≈ 365.6 tok/s

score 0.6399

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

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GPUs that fit (single card)

RTX 3090

24 GB VRAM

$89.2

/mo · vast

A10

24 GB VRAM

$171

/mo · vast

L4

24 GB VRAM

$185

/mo · vast

RTX 4090

24 GB VRAM

$190

/mo · tensordock

RTX A6000

48 GB VRAM

$264

/mo · vast

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