Qwen2.5 1.5B
40 consumer GPUs can run Qwen2.5 1.5B at Q4 natively. Precise VRAM thresholds and benchmarks below.
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →
Execution Context
This model requires a Entry GPU (8 GB VRAM)
Cómo ejecutar este modelo
CPU vs GPU for Qwen2.5 1.5B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 3 GB | 3 GB | Maximum |
| Q8 (high quality) | 1.5 GB | 1.5 GB | Near-lossless |
| Q4 (recommended) Best balance | 1 GB | 1 GB | Recommended |
| Q2 (minimum) | 0.5 GB | 0.5 GB | Quality loss |
Model Details
| Developer | Alibaba |
| Parameters | 1.5B |
| Context window | 131,072 tokens |
| License | Apache-2.0 |
| Use cases | chat, edge, mobile |
| Released | 2024-09 |
Install with Ollama
ollama run qwen2.5:1.5b Hugging Face
Qwen/Qwen2.5-1.5B-Instruct Can your GPU run Qwen2.5 1.5B?
Qwen2.5 1.5B requires 1 GB VRAM at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -1 GB you'll hit significant offload latency.
Hardware Performance Matrix
40 Q4 native · 0 offload · 0 unsupported
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 350 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 350 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 350 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 350 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 342 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 328 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 347 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 349 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 244 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 350 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 244 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 300 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 345 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 342 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 300 tok/s | Calculate → |
| RTX 3080 | 10GB | Optimal | 339 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 122 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 279 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 230 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 225 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 128 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 193 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Optimal | 272 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Optimal | 128 tok/s | Calculate → |
| RTX 3070 | 8GB | Optimal | 200 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 172 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 67 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Optimal | 201 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Optimal | 201 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 161 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 89 tok/s | Calculate → |
| RTX 4060 | 8GB | Optimal | 122 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 100 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 89 tok/s | Calculate → |
| RX 7600 | 8GB | Optimal | 129 tok/s | Calculate → |
| RX 6600 XT | 8GB | Optimal | 122 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Optimal | 91 tok/s | Calculate → |
| RX 6600 | 8GB | Optimal | 110 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Optimal | 100 tok/s | Calculate → |
| GTX 1660 Super | 6GB | Optimal | 150 tok/s | Calculate → |
Recommended GPUs for Qwen2.5 1.5B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Check availability →
RTX 4090
24 GB VRAM
Check availability →
M4 Ultra
128 GB VRAM
Check availability →
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Qwen2.5 1.5B — Compatibility guide
Qwen2.5 1.5B is an edge model that runs directly on CPU — no GPU required. On an i7-13700K with llama.cpp Q4 it reaches 38 tokens/second, enough for real-time chat. With a GPU you get up to ~137 tok/s with 6 GB VRAM. Ideal for laptops and desktops without a dedicated graphics card.
Compare GPUs for Qwen2.5 1.5B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Qwen2.5 1.5B at Q4 — sorted by AI performance score.
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More Practical Alternatives
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Not sure which GPU you need for Qwen2.5 1.5B?
The VRAM Calculator tells you exactly which quantization your hardware can handle.