BAAI/bge-base-en-v1.5

BAAI/bge-base-en-v1.5

Parameters

108.4M

Context

512

Downloads

9.8M

Likes

501

Architecture

bert

12 layers · head 64 · hidden 768

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
1.5 GB
RAM 32.0 · Disk 39.3
1.7 GB
RAM 32.0 · Disk 65.3
2.0 GB
RAM 32.0 · Disk 104.3
FP88bit
1.4 GB
RAM 32.0 · Disk 39.2
1.5 GB
RAM 32.0 · Disk 65.2
1.8 GB
RAM 32.0 · Disk 104.2
INT88bit
1.4 GB
RAM 32.0 · Disk 39.2
1.5 GB
RAM 32.0 · Disk 65.2
1.8 GB
RAM 32.0 · Disk 104.2
AWQ4bit
1.3 GB
RAM 32.0 · Disk 39.1
1.5 GB
RAM 32.0 · Disk 65.1
1.8 GB
RAM 32.0 · Disk 104.1
GPTQ4bit
1.3 GB
RAM 32.0 · Disk 39.1
1.5 GB
RAM 32.0 · Disk 65.1
1.8 GB
RAM 32.0 · Disk 104.1
GGUF4bit
1.3 GB
RAM 32.0 · Disk 39.1
1.5 GB
RAM 32.0 · Disk 65.1
1.8 GB
RAM 32.0 · Disk 104.1

GPU Recommendations

Best ValueBEST

1× RTX 5060 Ti

8 GB VRAM

$88.7/mo

≈ 17920 vec/s

Effective production throughput ≈ 14336 vectors/s

score 0.54

Deploy on vast ↗
Cheapest

1× RTX 5060 Ti

8 GB VRAM

$88.7/mo

≈ 17920 vec/s

Effective production throughput ≈ 14336 vectors/s

score 0.54

Deploy on vast ↗
Performance

8× RTX 5060 Ti

64 GB VRAM

$710/mo

≈ 143360 vec/s

Effective production throughput ≈ 114688 vectors/s

score 0.3555

Deploy on vast ↗
Min Complexity

2× RTX 5060 Ti

16 GB VRAM

$177/mo

≈ 35840 vec/s

Effective production throughput ≈ 28672 vectors/s

score 0.4489

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

Tesla V100

16 GB VRAM

$44.6

/mo · vast

RTX 3080

10 GB VRAM

$59.2

/mo · vast

L4

24 GB VRAM

$79.5

/mo · vast

RTX 3080 Ti

12 GB VRAM

$79.5

/mo · vast

RTX 3090

24 GB VRAM

$88.4

/mo · vast

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