Qwen0.5B paramspopular

Qwen2.5 0.5B locally

Qwen2.5 0.5B is an open-weight LLM from the Qwen family with 0.5B parameters. Main use: chat, RAG and general assistance. Detected minimum hardware: GTX 1650 (4 GB).

Technical facts
Parameters0.5B
Q4_K_M0.3 GB
Q5_K_M0.4 GB
Q80.6 GB
FP161.1 GB
FamilyQwen
Last sync2026-05-12

Available quantizations

Q4_K_M
0.3GB

Acceptable. Good compromise when VRAM is limited.

Q5_K_M
0.4GB

Good quality. Sweet spot for size and precision.

Q8
0.6GB

Near-FP16 quality. Comfortable for production.

FP16
1.1GB

Reference precision. Maximum quality, doubled VRAM.

Compatible GPUs

GPUs that can run Qwen2.5 0.5B on a single card, ranked by VRAM headroom.

Recommended multi-GPU rigs

For Qwen2.5 0.5B at higher quantization or with more context, a multi-GPU rig gives more headroom.

Recommended rig

2× GTX 1650

Qwen2.5 0.5B with Ubuntu, vLLM, Open WebUI and the model already downloaded.

Configure

Similar models

VRAM estimates: parameters x bits/8 plus margin. Real performance varies by engine, context length and batch size.
sync: 2026-05-12