Home / Models / Qwen2.5 72B Instruct / NVIDIA RTX 5000 16 GB
Can Qwen2.5 72B Instruct run on NVIDIA RTX 5000 16 GB?
Can it run? Yes, with CPU/RAM offload. Full GPU fit? No.
Can it run?
- Can it run?
- Yes, with CPU/RAM offload. This is not equivalent to full-GPU inference.
- Full GPU fit?
- No
- Model
- Qwen2.5 72B Instruct · 73B
- GPU
- NVIDIA RTX 5000 16 GB · 16 GB advertised
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 42.7 GB |
|---|---|
| KV cache | 2.5 GB |
| Runtime reserve | 2.6 GB |
| Safety margin | 1.5 GB |
| Required (estimated) | 49.3 GB |
| GPU usable VRAM | 14.4 GB |
Result: DOES NOT FIT
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K |
|---|---|---|---|---|---|
| BF16 | No | No | No | No | No |
| FP16 | No | No | No | No | No |
| Q3 | Offload | Offload | Offload | Offload | Offload |
| Q4 | No | No | No | No | No |
| Q5 | No | No | No | No | No |
| Q6 | No | No | No | No | No |
| Q8 | No | No | No | No | No |
What fits entirely in VRAM?
No calculated full-VRAM fit at the evaluated quantizations and context lengths.
What requires RAM offload?
Weights may run with CPU/RAM offload. That is not equivalent to full-GPU inference. RigForAI does not estimate tokens/sec in this release.
Available graphics cards
These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.
HP 5JH81AA graphics card NVIDIA Quadro RTX 5000 16 GB GDDR6
16 GB · Amazon EXACT
$602.99
Check price on Amazon
Fujitsu S26361-F2222-L505 graphics card NVIDIA Quadro RTX 5000 16 GB GDDR6
16 GB · Amazon unmatched
Sources
Model: official config Qwen/Qwen2.5-72B-Instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.