Can NVIDIA RTX 4000 Ada run Qwen 2.5 Coder 32B?
32B parameter Code model on 20GB GDDR6
VRAM Requirements
Qwen 2.5 Coder 32B is a 32B parameter model. At full precision (FP16), it requires 64GB of VRAM. Your NVIDIA RTX 4000 Ada has 20GB, so you'll need to quantize it to 4-bit (Q4) to fit.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 40GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
Qwen 2.5 Coder 32B at Q4 on NVIDIA RTX 4000 Ada works for code completion but complex multi-file operations may show quality drops. Still very usable for day-to-day coding assistance. Consider a larger VRAM GPU for professional code generation workflows.
How to Set It Up
Step 1: Install Ollama
curl -fsSL https://ollama.com/install.sh | shOllama is the easiest way to run local LLMs. Works on Linux, macOS, and Windows.
Step 2: Download and run Qwen 2.5 Coder 32B
ollama run qwen2.5:32b:q4_K_MThis downloads the Q4_K_M quantized version (~20GB). First run takes a few minutes to download.
Step 3: Verify GPU is being used
nvidia-smiCheck that VRAM usage increases when the model loads. You should see ~20GB used.
NVIDIA RTX 4000 Ada Specs
Other GPUs That Run Qwen 2.5 Coder 32B
Other Code Models on NVIDIA RTX 4000 Ada
About Qwen 2.5 Coder 32B
Best open-source coding model. Needs 24GB+ for good quality.