Can I run Qwen2.5-0.5B-Instruct on a AMD RX 7900 XT?

Yes.Runs

You can run this comfortably. On a AMD RX 7900 XT (20 GB VRAM), Qwen2.5-0.5B-Instruct needs about 2.2 GB (FP16) and should generate at roughly ~270 tok/s. Recommended: Run on your GPU with FP16.

Qwen/Qwen2.5-0.5B-Instruct

Why

At full precision this model needs ~2.2 GB, which fits your GPU VRAM.

How to run Qwen2.5-0.5B-Instruct on a RX 7900 XT

Serve with vLLM (OpenAI-compatible API)

# Fast production serving on http://localhost:8000/v1
vllm serve Qwen/Qwen2.5-0.5B-Instruct

Python (Transformers)

from transformers import pipeline
pipe = pipeline("text-generation", model="Qwen/Qwen2.5-0.5B-Instruct", device_map="auto")
print(pipe("Hello", max_new_tokens=50))

Want it to run comfortably at higher precision? The smallest GPU that runs Qwen2.5-0.5B-Instruct well is the NVIDIA RTX 4090 (24 GB).

Try the full analyzer

Qwen2.5-0.5B-Instruct on other GPUs

RTX 509032 GB VRAM RTX 508016 GB VRAM RTX 5070 Ti16 GB VRAM RTX 507012 GB VRAM RTX 409024 GB VRAM RTX 4080 Super16 GB VRAM

Other models on a RX 7900 XT

GPT-2on AMD RX 7900 XT Phi-3-minion AMD RX 7900 XT Qwen2.5-Coderon AMD RX 7900 XT Mistral-7Bon AMD RX 7900 XT Llama-3.1-8Bon AMD RX 7900 XT Gemma-2-9Bon AMD RX 7900 XT