jonatasgrosman/wav2vec2-large-xlsr-53-japanese
jonatasgrosman/wav2vec2-large-xlsr-53-japanese
Parameters
304.4M
Context
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Downloads
16.8M
Likes
88
Architecture
wav2vec2
24 layers · head 64 · hidden 1024
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 4.1 GB RAM 32.0 · Disk 39.9 | 4.9 GB RAM 32.0 · Disk 65.9 | 6.3 GB RAM 32.0 · Disk 104.9 |
| FP88bit | 3.4 GB RAM 32.0 · Disk 39.4 | 4.2 GB RAM 32.0 · Disk 65.4 | 5.6 GB RAM 32.0 · Disk 104.4 |
| INT88bit | 3.4 GB RAM 32.0 · Disk 39.4 | 4.2 GB RAM 32.0 · Disk 65.4 | 5.6 GB RAM 32.0 · Disk 104.4 |
| AWQ4bit | 3.1 GB RAM 32.0 · Disk 39.2 | 3.8 GB RAM 32.0 · Disk 65.2 | 5.2 GB RAM 32.0 · Disk 104.2 |
| GPTQ4bit | 3.1 GB RAM 32.0 · Disk 39.2 | 3.8 GB RAM 32.0 · Disk 65.2 | 5.2 GB RAM 32.0 · Disk 104.2 |
| GGUF4bit | 3.1 GB RAM 32.0 · Disk 39.2 | 3.8 GB RAM 32.0 · Disk 65.2 | 5.2 GB RAM 32.0 · Disk 104.2 |
GPU Recommendations
1× RTX 3080 Ti
12 GB VRAM
≈ RTF 0.39
Effective production throughput ≈ 0.3 RTF
score 0.5797
1× RTX 3080
10 GB VRAM
≈ RTF 0.46
Effective production throughput ≈ 0.3 RTF
score 0.5961
8× RTX 5080
128 GB VRAM
≈ RTF 0.11
Effective production throughput ≈ 0.1 RTF
score 0.3575
1× RTX 5080
16 GB VRAM
≈ RTF 0.37
Effective production throughput ≈ 0.3 RTF
score 0.5575
💬 Community — real deployment experience
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GPUs that fit (single card)
RTX 3080
10 GB VRAM
$58.6
/mo · vast
Tesla V100
16 GB VRAM
$66.4
/mo · vast
RTX 4060 Ti
8 GB VRAM
$78.4
/mo · vast
RTX 3080 Ti
12 GB VRAM
$79.5
/mo · vast
RTX 3090
24 GB VRAM
$88.4
/mo · vast