openai/clip-vit-base-patch32
openai/clip-vit-base-patch32
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Context
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Architecture
clip
12 layers · head 64 · hidden 512
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 2.8 GB RAM 32.0 · Disk 39.4 | 4.8 GB RAM 32.0 · Disk 65.4 | 19.0 GB RAM 32.0 · Disk 104.4 |
| FP88bit | 2.6 GB RAM 32.0 · Disk 39.2 | 4.6 GB RAM 32.0 · Disk 65.2 | 18.8 GB RAM 32.0 · Disk 104.2 |
| INT88bit | 2.6 GB RAM 32.0 · Disk 39.2 | 4.6 GB RAM 32.0 · Disk 65.2 | 18.8 GB RAM 32.0 · Disk 104.2 |
| AWQ4bit | 2.5 GB RAM 32.0 · Disk 39.1 | 4.6 GB RAM 32.0 · Disk 65.1 | 18.7 GB RAM 32.0 · Disk 104.1 |
| GPTQ4bit | 2.5 GB RAM 32.0 · Disk 39.1 | 4.6 GB RAM 32.0 · Disk 65.1 | 18.7 GB RAM 32.0 · Disk 104.1 |
| GGUF4bit | 2.5 GB RAM 32.0 · Disk 39.1 | 4.6 GB RAM 32.0 · Disk 65.1 | 18.7 GB RAM 32.0 · Disk 104.1 |
GPU Recommendations
1× RTX 3080 Ti
12 GB VRAM
≈ 13028.6 tok/s
Effective production throughput ≈ 9120 tok/s
score 0.596
1× Tesla V100
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.565
8× H200 SXM
1128 GB VRAM
≈ 219428.6 tok/s
Effective production throughput ≈ 153600 tok/s
score 0.2197
1× RTX 3080
10 GB VRAM
≈ 10857.1 tok/s
Effective production throughput ≈ 7600 tok/s
score 0.6155
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$39.5
/mo · vast
RTX 3080
10 GB VRAM
$58.6
/mo · vast
RTX 4060 Ti
8 GB VRAM
$68.8
/mo · vast
L4
24 GB VRAM
$78.7
/mo · vast
RTX 3080 Ti
12 GB VRAM
$79.5
/mo · vast