Home / Models / Qwen2.5-Coder 32B Instruct / NVIDIA RTX A2000 6 GB
Can Qwen2.5-Coder 32B Instruct run on NVIDIA RTX A2000 6 GB?
No. Estimated memory for Qwen2.5-Coder 32B Instruct exceeds NVIDIA RTX A2000 6 GB, including the modeled offload allowance.
Can it run?
- Can it run?
- No (calculated estimate).
- Full GPU fit?
- No
- Model
- Qwen2.5-Coder 32B Instruct · 33B
- GPU
- NVIDIA RTX A2000 6 GB · 6 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 | 5.4 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 | No | No | No | No | No |
| 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?
Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.
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.
Sources
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.