Can NVIDIA A100 80GB run Qwen 2.5 Coder 32B?
32B parameter Code model on 80GB HBM2e
VRAM Requirements
Qwen 2.5 Coder 32B is a 32B parameter model. At full precision (FP16), it requires 64GB of VRAM. Your NVIDIA A100 80GB has 80GB — enough to run it without any quantization.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 160GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
Qwen 2.5 Coder 32B at this precision on NVIDIA A100 80GB gives excellent code completion and generation. Fast enough for real-time IDE integration. Handles complex refactoring, multi-file edits, and long-context code understanding.
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 qwen2.5:32bThis downloads the model (~64GB). First run takes a few minutes.
Step 3: Verify GPU is being used
nvidia-smiCheck that VRAM usage increases when the model loads. You should see ~64GB used.
NVIDIA A100 80GB Specs
Other GPUs That Run Qwen 2.5 Coder 32B
Other Code Models on NVIDIA A100 80GB
About Qwen 2.5 Coder 32B
Best open-source coding model. Needs 24GB+ for good quality.