multimodal 30B params
QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ
QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ
695,408 downloads
42 likes
Hardware Recommendations
Three tiers based on VRAM requirements: minimum for basic inference, comfortable for longer contexts, headroom for future model sizes.
Minimum $799
Apple Mac mini (M4, 24GB)
24GB unified 25W TDP
Runs 30B at Q4_K_M quantization with 4K context.
Comfortable $1,999
NVIDIA GeForce RTX 5090 (32GB)
32GB VRAM 575W TDP
Runs 30B at Q5_K_M quantization with 8K+ context.
VRAM Requirements
| Quantization | VRAM | Use case |
|---|---|---|
| Q4_K_M | 20 GB | Basic inference, 4K context |
| Q5_K_M | 25 GB | Good quality, 8K+ context |
| Q8 | 38 GB | Near-lossless, 16K+ context |
| FP16 | 74 GB | Full precision, max quality |
Formula: params × bytes_per_param × 1.2 overhead + 2 GB base. Actual requirements vary by framework and context length.