Home / Models / Qwen2.5 32B Instruct / NVIDIA RTX 5060 Ti 8 GB
Can Qwen2.5 32B Instruct run on NVIDIA RTX 5060 Ti 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 32B Instruct · 33B
- 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 32B Instruct · See 2× multi-GPU options
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. Performance numbers below are only published for full-VRAM fits.
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.
ASUS Dual -RTX5060TI-O8G NVIDIA GeForce RTX 5060 Ti 8 GB GDDR7
8 GB · Amazon EXACT
$608.55
Check price on Amazon
ASUS Prime -RTX5060TI-O8G NVIDIA GeForce RTX 5060 Ti 8 GB GDDR7
8 GB · Amazon unmatched
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: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.