Home / Models / Qwen2.5 32B Instruct / NVIDIA RTX 4080 16 GB

Calculated memory fit · not a benchmark

Can Qwen2.5 32B Instruct run on NVIDIA RTX 4080 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 32B Instruct · 33B
GPU
NVIDIA RTX 4080 16 GB · 16 GB advertised

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights19.1 GB
KV cache2.0 GB
Runtime reserve1.5 GB
Safety margin0.8 GB
Required (estimated)23.3 GB
GPU usable VRAM14.4 GB

Result: CPU RAM OFFLOAD REQUIRED

Quantization table

Quantization2K4K8K16K32K
BF16NoNoNoNoNo
FP16NoNoNoNoNo
Q3OffloadOffloadOffloadOffloadOffload
Q4OffloadOffloadOffloadOffloadOffload
Q5OffloadOffloadOffloadOffloadOffload
Q6OffloadOffloadOffloadOffloadOffload
Q8OffloadOffloadOffloadOffloadOffload

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.

Check price on Amazon

MSI

MSI SUPRIM GeForce RTX 4080 16GB X NVIDIA GDDR6X

16 GB · Amazon unmatched

Check availability

Sources

Model: official config Qwen/Qwen2.5-32B-Instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.