Cross-encoder

cross-encoder/ms-marco-MiniLM-L4-v2

cross-encoder/ms-marco-MiniLM-L4-v2

Parameters

18.8M

Context

512

Downloads

9M

Likes

28

Architecture

bert

4 layers · head 32 · hidden 384

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
2.3 GB
RAM 32.0 · Disk 39.1
2.7 GB
RAM 32.0 · Disk 65.1
5.3 GB
RAM 32.0 · Disk 104.1
FP88bit
2.3 GB
RAM 32.0 · Disk 39.0
2.7 GB
RAM 32.0 · Disk 65.0
5.3 GB
RAM 32.0 · Disk 104.0
INT88bit
2.3 GB
RAM 32.0 · Disk 39.0
2.7 GB
RAM 32.0 · Disk 65.0
5.3 GB
RAM 32.0 · Disk 104.0
AWQ4bit
2.3 GB
RAM 32.0 · Disk 39.0
2.7 GB
RAM 32.0 · Disk 65.0
5.3 GB
RAM 32.0 · Disk 104.0
GPTQ4bit
2.3 GB
RAM 32.0 · Disk 39.0
2.7 GB
RAM 32.0 · Disk 65.0
5.3 GB
RAM 32.0 · Disk 104.0
GGUF4bit
2.3 GB
RAM 32.0 · Disk 39.0
2.7 GB
RAM 32.0 · Disk 65.0
5.3 GB
RAM 32.0 · Disk 104.0

GPU Recommendations

Best ValueBEST

1× RTX 5080

16 GB VRAM

$90.6/mo

≈ 96000 tok/s

Effective production throughput ≈ 67200 tok/s

score 0.5401

Deploy on vast ↗
Cheapest

1× RTX 5060 Ti

8 GB VRAM

$39.7/mo

≈ 44800 tok/s

Effective production throughput ≈ 31360 tok/s

score 0.5827

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 1536000 tok/s

Effective production throughput ≈ 1075200 tok/s

score 0.2197

Min Complexity

1× RTX 5070

12 GB VRAM

$54.1/mo

≈ 67200 tok/s

Effective production throughput ≈ 47040 tok/s

score 0.5539

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX 5060 Ti

8 GB VRAM

$39.7

/mo · vast

RTX 4070S Ti

16 GB VRAM

$49.5

/mo · vast

RTX 4080S

16 GB VRAM

$50.0

/mo · vast

RTX 5070

12 GB VRAM

$54.1

/mo · vast

RTX 5070 Ti

16 GB VRAM

$83.1

/mo · vast

AmciHub

AI Model Deployment & Compute Intelligence — analyze AI model requirements, GPU performance, cloud pricing and deployment costs to find the right deployment solution.

© 2026 AmciHub. All rights reserved. Model → Requirement → GPU → Benchmark → Cloud → Cost → Recommendation