32 GB VRAM · Q4 native Amazon
RTX 5090
Pros
- Runs Qwen2.5 1.5B at Q4 natively
- 32 GB VRAM — adequate headroom
CPU-capable model ready
Qwen2.5 1.5B
40 consumer GPUs can run Qwen2.5 1.5B at Q4 natively. Precise VRAM thresholds and benchmarks below.
40 Compatible GPUs
1.5B params
131K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 131K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Alibaba
LICENSE Apache-2.0
Hardware Decision
This model requires aEntry GPU (8 GB VRAM)
Compatible GPUs for Qwen2.5 1.5B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Pros
- Runs Qwen2.5 1.5B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Pros
- Runs Qwen2.5 1.5B at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
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
GPU VRAM 1 GB Entry GPU
System RAM 16 GB
DDR4/DDR5
Storage 1 GB Q4 · SSD recommended
CPU i7 → 38 tok/s Runs without GPU
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 Technical Requirements
Can your GPU run Qwen2.5 1.5B?
Qwen2.5 1.5B requires <strong class="text-primary-container">1 GB VRAM</strong> at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -1 GB you'll hit significant offload latency.
0.5GB Critical min
1GB Optimal Q4
1.5GB High Quality Q8
3GB Max FP16
Hardware Performance Matrix
40 Q4 native · 0 offload
| 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
Real Benchmarks
No Paid Reviews
Editorial Pick
Data-driven
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
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.
Real Benchmarks
No Paid Reviews
Data-driven
Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.
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.
RTX 5090
Check availability
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