Can NVIDIA GeForce RTX 3080 10GB run Qwen 2.5 14B?
14B parameter LLM model on 10GB GDDR6X
VRAM Requirements
Qwen 2.5 14B is a 14B parameter model. At full precision (FP16), it requires 28GB of VRAM. Your NVIDIA GeForce RTX 3080 10GB has 10GB, 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: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
At 4-bit quantization, Qwen 2.5 14B fits in NVIDIA GeForce RTX 3080 10GB's 10GB VRAM but with some quality trade-offs. Complex reasoning tasks and nuanced writing may show slight degradation. For casual chat, code assistance, and general queries, Q4 is perfectly usable. For critical work, consider a GPU with more VRAM to run at Q8.
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 14B
ollama run qwen2.5:14b:q4_K_MThis downloads the Q4_K_M quantized version (~9GB). 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 ~9GB used.
NVIDIA GeForce RTX 3080 10GB Specs
Other GPUs That Run Qwen 2.5 14B
Other LLM Models on NVIDIA GeForce RTX 3080 10GB
About Qwen 2.5 14B
Good balance of quality and speed. Fits on 12–16GB GPUs at Q4-Q8.