sentence-transformers/all-mpnet-base-v2
sentence-transformers/all-mpnet-base-v2
Parameters
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Context
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Architecture
mpnet
12 layers · head 64 · hidden 768
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| 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
1× RTX 5060 Ti
8 GB VRAM
≈ 17920 vec/s
Effective production throughput ≈ 14336 vectors/s
score 0.5398
1× RTX 4060 Ti
8 GB VRAM
≈ 11520 vec/s
Effective production throughput ≈ 9216 vectors/s
score 0.5392
8× RTX 5060 Ti
64 GB VRAM
≈ 143360 vec/s
Effective production throughput ≈ 114688 vectors/s
score 0.354
2× RTX 4060 Ti
16 GB VRAM
≈ 23040 vec/s
Effective production throughput ≈ 18432 vectors/s
score 0.4478
💬 Community — real deployment experience
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GPUs that fit (single card)
Tesla V100
16 GB VRAM
$44.3
/mo · vast
RTX 3080
10 GB VRAM
$69.2
/mo · vast
RTX 4060 Ti
8 GB VRAM
$71.4
/mo · vast
RTX 3080 Ti
12 GB VRAM
$79.5
/mo · vast
RTX 3090
24 GB VRAM
$88.4
/mo · vast