Qwen2.5-Coder 32B
10 consumer GPUs can run Qwen2.5-Coder 32B at Q4 natively. Precise VRAM thresholds and benchmarks below.
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →
Execution Context
This model requires a High-end GPU (24 GB VRAM)
Cómo ejecutar este modelo
Check if your GPU can run Qwen2.5-Coder 32B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
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System Requirements
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 76.8 GB | 64 GB | Maximum |
| Q8 (high quality) | 38.4 GB | 32 GB | Near-lossless |
| Q4 (recommended) Best balance | 19.2 GB | 16 GB | Recommended |
| Q2 (minimum) | 9.6 GB | 8 GB | Quality loss |
Model Details
| Developer | Alibaba |
| Parameters | 32B |
| Context window | 131,072 tokens |
| License | Apache-2.0 |
| Use cases | coding, chat, reasoning, analysis |
| Released | 2024-11 |
Install with Ollama
ollama run qwen2.5-coder:32b Hugging Face
Qwen/Qwen2.5-Coder-32B-Instruct Can your GPU run Qwen2.5-Coder 32B?
Qwen2.5-Coder 32B requires 19.2 GB VRAM at Q4. 10 consumer GPUs meet this threshold. Below 8 GB or 17.2 GB you'll hit significant offload latency.
Hardware Performance Matrix
10 Q4 native · 19 offload · 11 unsupported
Recommended GPUs for Qwen2.5-Coder 32B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Check availability →
RTX 4090
24 GB VRAM
Check availability →
M4 Ultra
128 GB VRAM
Check availability →
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Qwen2.5-Coder 32B — Compatibility guide
Qwen2.5-Coder 32B requires a high-end GPU like the RTX 4090 or a Mac with M2 Ultra or better. The Q4 version needs 19.2 GB VRAM. Check the VRAM calculator for your options.
Compare GPUs for Qwen2.5-Coder 32B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Qwen2.5-Coder 32B at Q4 — sorted by AI performance score.
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Not sure which GPU you need for Qwen2.5-Coder 32B?
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