timm/efficientnet_b3.ra2_in1k

timm/efficientnet_b3.ra2_in1k

Parameters

12.3M

Context

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Downloads

12.7M

Likes

30

Architecture

—

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
3.6 GB
RAM 32.0 · Disk 39.0
5.8 GB
RAM 32.0 · Disk 65.0
21.6 GB
RAM 32.5 · Disk 104.0
FP88bit
3.6 GB
RAM 32.0 · Disk 39.0
5.8 GB
RAM 32.0 · Disk 65.0
21.6 GB
RAM 32.4 · Disk 104.0
INT88bit
3.6 GB
RAM 32.0 · Disk 39.0
5.8 GB
RAM 32.0 · Disk 65.0
21.6 GB
RAM 32.4 · Disk 104.0
AWQ4bit
3.6 GB
RAM 32.0 · Disk 39.0
5.8 GB
RAM 32.0 · Disk 65.0
21.6 GB
RAM 32.4 · Disk 104.0
GPTQ4bit
3.6 GB
RAM 32.0 · Disk 39.0
5.8 GB
RAM 32.0 · Disk 65.0
21.6 GB
RAM 32.4 · Disk 104.0
GGUF4bit
3.6 GB
RAM 32.0 · Disk 39.0
5.8 GB
RAM 32.0 · Disk 65.0
21.6 GB
RAM 32.4 · Disk 104.0

GPU Recommendations

Best ValueBEST

1× RTX 3080 Ti

12 GB VRAM

$78.8/mo

≈ 91200 tok/s

Effective production throughput ≈ 63840 tok/s

score 0.6229

Deploy on vast ↗
Cheapest

1× Tesla V100

16 GB VRAM

$39.7/mo

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

Effective production throughput ≈ 0 tok/s

score 0.5852

Deploy on vast ↗
Performance

8× RTX 5090

256 GB VRAM

$2,506/mo

≈ 573440 tok/s

Effective production throughput ≈ 401408 tok/s

score 0.3488

Deploy on vast ↗
Min Complexity

1× RTX 4060 Ti

8 GB VRAM

$59.5/mo

≈ 28800 tok/s

Effective production throughput ≈ 20160 tok/s

score 0.6828

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

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GPUs that fit (single card)

Tesla V100

16 GB VRAM

$39.7

/mo · vast

RTX 4060 Ti

8 GB VRAM

$59.5

/mo · vast

RTX 5060 Ti

8 GB VRAM

$67.5

/mo · vast

RTX 4070S Ti

16 GB VRAM

$68.5

/mo · vast

RTX 3080

10 GB VRAM

$72.6

/mo · vast

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