Qwen2.5-1.5B
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
Frequently asked
Quick answers to common questions
How much VRAM does Qwen2.5-1.5B need?
Qwen2.5-1.5B with 1.5B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Qwen2.5-1.5B better than other Qwen models?
Qwen2.5-1.5B has 1.5B parameters with 131,072 context - a strong choice for general use.
What license is Qwen2.5-1.5B under?
Qwen2.5-1.5B is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs Qwen2.5-1.5B well?
With 1.5B parameters, Qwen2.5-1.5B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Qwen2.5-1.5B?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can Qwen2.5-1.5B's context window handle?
Qwen2.5-1.5B supports a 131,072-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with Qwen2.5-1.5B?
Qwen2.5-1.5B competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
Similar by size
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