Qwen2-Audio 7B
Qwen/Qwen2-Audio-7B-Instruct
Parameters
7.6B
Context
8K
Downloads
607.9K
Likes
551
Architecture
transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 37.3 GB RAM 56.0 · Disk 61.1 | 40.0 GB RAM 59.9 · Disk 87.1 | 43.6 GB RAM 65.4 · Disk 126.1 |
| FP88bit | 20.2 GB RAM 32.0 · Disk 50.0 | 22.1 GB RAM 33.1 · Disk 76.0 | 24.9 GB RAM 37.4 · Disk 115.0 |
| INT88bit | 20.2 GB RAM 32.0 · Disk 50.0 | 22.1 GB RAM 33.1 · Disk 76.0 | 24.9 GB RAM 37.4 · Disk 115.0 |
| AWQ4bit | 12.0 GB RAM 32.0 · Disk 44.7 | 13.4 GB RAM 32.0 · Disk 70.7 | 15.9 GB RAM 32.0 · Disk 109.7 |
| GPTQ4bit | 12.1 GB RAM 32.0 · Disk 44.8 | 13.5 GB RAM 32.0 · Disk 70.8 | 16.1 GB RAM 32.0 · Disk 109.8 |
| GGUF4bit | 12.3 GB RAM 32.0 · Disk 44.9 | 13.8 GB RAM 32.0 · Disk 70.9 | 16.3 GB RAM 32.0 · Disk 109.9 |
GPU Recommendations
1× RTX 5090
32 GB VRAM
≈ 41800 chars/s
Effective production throughput ≈ 29260 chars/s
score 0.6094
1× RTX 4070S Ti
16 GB VRAM
≈ 0 chars/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 chars/s
score 0.6651
8× H100 SXM
640 GB VRAM
≈ 107040 chars/s
Effective production throughput ≈ 74928 chars/s
score 0.2415
1× RTX 3090
24 GB VRAM
≈ 14200 chars/s
Effective production throughput ≈ 9940 chars/s
score 0.6443
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
RTX 4070S Ti
16 GB VRAM
$49.5
/mo · vast
RTX 4080S
16 GB VRAM
$50.0
/mo · vast
RTX 3090
24 GB VRAM
$76.5
/mo · vast
RTX 5070 Ti
16 GB VRAM
$86.3
/mo · vast
Tesla V100
16 GB VRAM
$88.4
/mo · vast