Home / Models / Qwen2.5 72B Instruct / NVIDIA RTX 5060 Ti 8 GB

Calculated memory fit · performance is a separate section

Can Qwen2.5 72B Instruct run on NVIDIA RTX 5060 Ti 8 GB?

No. Estimated memory for Qwen2.5 72B Instruct exceeds NVIDIA RTX 5060 Ti 8 GB, including the modeled offload allowance.

Can it run?

Can it run?
No (calculated estimate).
Full GPU fit?
No
Model
Qwen2.5 72B Instruct · 73B
GPU
NVIDIA RTX 5060 Ti 8 GB · 8 GB advertised

What else can NVIDIA RTX 5060 Ti 8 GB run? · Find other GPUs for Qwen2.5 72B Instruct · See 2× multi-GPU options

Memory calculation

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

Model weights42.7 GB
KV cache2.5 GB
Runtime reserve2.6 GB
Safety margin1.5 GB
Required (estimated)49.3 GB
GPU usable VRAM7.2 GB

Result: DOES NOT FIT

Quantization table

Quantization2K4K8K16K32K
BF16NoNoNoNoNo
FP16NoNoNoNoNo
Q3NoNoNoNoNo
Q4NoNoNoNoNo
Q5NoNoNoNoNo
Q6NoNoNoNoNo
Q8NoNoNoNoNo

What fits entirely in VRAM?

No calculated full-VRAM fit at the evaluated quantizations and context lengths.

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Performance

No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated

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

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.