ibm-granite/granite-embedding-small-english-r2
ibm-granite/granite-embedding-small-english-r2
Parameters
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Context
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Likes
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Architecture
modernbert
12 layers · head 32 · hidden 384
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 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 |
| FP88bit | 1.3 GB RAM 32.0 · Disk 39.1 | 1.4 GB RAM 32.0 · Disk 65.1 | 1.7 GB RAM 32.0 · Disk 104.1 |
| INT88bit | 1.3 GB RAM 32.0 · Disk 39.1 | 1.4 GB RAM 32.0 · Disk 65.1 | 1.7 GB RAM 32.0 · Disk 104.1 |
| AWQ4bit | 1.2 GB RAM 32.0 · Disk 39.0 | 1.4 GB RAM 32.0 · Disk 65.0 | 1.7 GB RAM 32.0 · Disk 104.0 |
| GPTQ4bit | 1.2 GB RAM 32.0 · Disk 39.0 | 1.4 GB RAM 32.0 · Disk 65.0 | 1.7 GB RAM 32.0 · Disk 104.0 |
| GGUF4bit | 1.2 GB RAM 32.0 · Disk 39.0 | 1.4 GB RAM 32.0 · Disk 65.0 | 1.7 GB RAM 32.0 · Disk 104.0 |
GPU Recommendations
1× RTX 5060 Ti
8 GB VRAM
≈ 44800 vec/s
Effective production throughput ≈ 35840 vectors/s
score 0.5388
1× RTX 4060 Ti
8 GB VRAM
≈ 28800 vec/s
Effective production throughput ≈ 23040 vectors/s
score 0.5378
8× RTX 5060 Ti
64 GB VRAM
≈ 358400 vec/s
Effective production throughput ≈ 286720 vectors/s
score 0.3588
2× RTX 4060 Ti
16 GB VRAM
≈ 57600 vec/s
Effective production throughput ≈ 46080 vectors/s
score 0.4483
💬 Community — real deployment experience
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GPUs that fit (single card)
Tesla V100
16 GB VRAM
$39.7
/mo · vast
RTX 4060 Ti
8 GB VRAM
$59.2
/mo · vast
RTX 3080
10 GB VRAM
$64.3
/mo · vast
RTX 5060 Ti
8 GB VRAM
$68.8
/mo · vast
RTX 4070S Ti
16 GB VRAM
$68.9
/mo · vast