Home / Models / Qwen2.5-Coder 32B Instruct / NVIDIA Quadro 4000 8 GB
Can Qwen2.5-Coder 32B Instruct run on NVIDIA Quadro 4000 8 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-Coder 32B Instruct · 33B
- GPU
- NVIDIA Quadro 4000 8 GB · 8 GB advertised
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 19.1 GB |
|---|---|
| KV cache | 2.0 GB |
| Runtime reserve | 1.5 GB |
| Safety margin | 0.8 GB |
| Required (estimated) | 23.3 GB |
| GPU usable VRAM | 7.2 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 NVIDIA Quadro RTX 4000 8GB (3)DP+USBc Quadro 4000 GDDR6
8 GB · Amazon EXACT
$445.00
Check price on AmazonSources
Model: official config Qwen/Qwen2.5-Coder-32B-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.