BGE-large-zh-v1.5

BAAI/bge-large-zh-v1.5

BGE Chinese embedding, 1024 dim.

Parameters

326M

Context

512

Downloads

690K

Likes

1.2K

Architecture

bge

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
2.1 GB
RAM 32.0 · Disk 40.0
2.3 GB
RAM 32.0 · Disk 66.0
2.6 GB
RAM 32.0 · Disk 105.0
FP88bit
1.6 GB
RAM 32.0 · Disk 39.5
1.8 GB
RAM 32.0 · Disk 65.5
2.2 GB
RAM 32.0 · Disk 104.5
INT88bit
1.6 GB
RAM 32.0 · Disk 39.5
1.8 GB
RAM 32.0 · Disk 65.5
2.2 GB
RAM 32.0 · Disk 104.5
AWQ4bit
1.4 GB
RAM 32.0 · Disk 39.3
1.6 GB
RAM 32.0 · Disk 65.3
1.9 GB
RAM 32.0 · Disk 104.3
GPTQ4bit
1.4 GB
RAM 32.0 · Disk 39.3
1.6 GB
RAM 32.0 · Disk 65.3
1.9 GB
RAM 32.0 · Disk 104.3
GGUF4bit
1.4 GB
RAM 32.0 · Disk 39.3
1.6 GB
RAM 32.0 · Disk 65.3
1.9 GB
RAM 32.0 · Disk 104.3

GPU Recommendations

Best ValueBEST

1× RTX 5060 Ti

8 GB VRAM

$39.7/mo

≈ 5600 vec/s

Effective production throughput ≈ 4480 vectors/s

score 0.5464

Deploy on vast ↗
Cheapest

1× RTX 5060 Ti

8 GB VRAM

$39.7/mo

≈ 5600 vec/s

Effective production throughput ≈ 4480 vectors/s

score 0.5464

Deploy on vast ↗
Performance

8× RTX 5060 Ti

64 GB VRAM

$318/mo

≈ 44800 vec/s

Effective production throughput ≈ 35840 vectors/s

score 0.3636

Deploy on vast ↗
Min Complexity

2× RTX 5060 Ti

16 GB VRAM

$79.4/mo

≈ 11200 vec/s

Effective production throughput ≈ 8960 vectors/s

score 0.451

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

$20.3

/mo · vast

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

$58.7

/mo · vast

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