timm/mobilenetv3_small_100.lamb_in1k
timm/mobilenetv3_small_100.lamb_in1k
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Context
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Downloads
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Architecture
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GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 3.6 GB RAM 32.0 · Disk 39.0 | 5.8 GB RAM 32.0 · Disk 65.0 | 21.6 GB RAM 32.4 · Disk 104.0 |
| FP88bit | 3.6 GB RAM 32.0 · Disk 39.0 | 5.8 GB RAM 32.0 · Disk 65.0 | 21.6 GB RAM 32.4 · Disk 104.0 |
| INT88bit | 3.6 GB RAM 32.0 · Disk 39.0 | 5.8 GB RAM 32.0 · Disk 65.0 | 21.6 GB RAM 32.4 · Disk 104.0 |
| AWQ4bit | 3.6 GB RAM 32.0 · Disk 39.0 | 5.8 GB RAM 32.0 · Disk 65.0 | 21.6 GB RAM 32.4 · Disk 104.0 |
| GPTQ4bit | 3.6 GB RAM 32.0 · Disk 39.0 | 5.8 GB RAM 32.0 · Disk 65.0 | 21.6 GB RAM 32.4 · Disk 104.0 |
| GGUF4bit | 3.6 GB RAM 32.0 · Disk 39.0 | 5.8 GB RAM 32.0 · Disk 65.0 | 21.6 GB RAM 32.4 · Disk 104.0 |
GPU Recommendations
1× RTX 5080
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.5911
1× Tesla V100
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.5854
8× RTX 5090
256 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.3603
1× RTX 5060 Ti
8 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.684
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$19.9
/mo · vast
RTX 5060 Ti
8 GB VRAM
$40.4
/mo · vast
L4
24 GB VRAM
$43.1
/mo · vast
RTX 3090
24 GB VRAM
$45.4
/mo · vast
RTX 4070S Ti
16 GB VRAM
$49.5
/mo · vast