32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Qwen2.5 0.5B at Q4 natively
- 32 GB VRAM — adequate headroom
CPU-capable model ready
Qwen2.5 0.5B
40 consumer GPUs can run Qwen2.5 0.5B at Q4 natively. Precise VRAM thresholds and benchmarks below.
40 Compatible GPUs
0.5B 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 0.5B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Qwen2.5 0.5B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Qwen2.5 0.5B at Q4 natively
- 128 GB VRAM — adequate headroom
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
How to run this model
CPU vs GPU for Qwen2.5 0.5B →
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 0.35 GB Entry GPU
System RAM 16 GB
DDR4/DDR5
Storage 0.3 GB Q4 · SSD recommended
CPU i7 → 95 tok/s Runs without GPU
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 1 GB | 1 GB | Maximum |
| Q8 (high quality) | 0.5 GB | 0.5 GB | Near-lossless |
| Q4 (recommended) Best balance | 0.35 GB | 0.3 GB | Recommended |
| Q2 (minimum) | 0.2 GB | 0.15 GB | Quality loss |
Model Details
| Developer | Alibaba |
| Parameters | 0.5B |
| Context window | 131,072 tokens |
| License | Apache-2.0 |
| Use cases | chat, edge, mobile |
| Released | 2024-09 |
Install with Ollama
ollama run qwen2.5:0.5b Hugging Face
Qwen/Qwen2.5-0.5B-Instruct Technical Requirements
Can your GPU run Qwen2.5 0.5B?
Qwen2.5 0.5B requires <strong class="text-primary-container">0.35 GB VRAM</strong> at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -1.65 GB you'll hit significant offload latency.
0.2GB Critical min
0.35GB Optimal Q4
0.5GB High Quality Q8
1GB Max FP16
Hardware Performance Matrix
40 Q4 native · 0 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 400 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 400 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 400 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 400 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 400 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 386 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 400 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 400 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 287 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 400 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 287 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 353 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 400 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 400 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 353 tok/s | Calculate → |
| RTX 3080 | 10GB | Optimal | 399 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 143 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 328 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 270 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 265 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 151 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 227 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Optimal | 320 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Optimal | 151 tok/s | Calculate → |
| RTX 3070 | 8GB | Optimal | 235 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 202 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 79 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Optimal | 236 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Optimal | 236 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 189 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 105 tok/s | Calculate → |
| RTX 4060 | 8GB | Optimal | 143 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 118 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 105 tok/s | Calculate → |
| RX 7600 | 8GB | Optimal | 152 tok/s | Calculate → |
| RX 6600 XT | 8GB | Optimal | 143 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Optimal | 107 tok/s | Calculate → |
| RX 6600 | 8GB | Optimal | 129 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Optimal | 118 tok/s | Calculate → |
| GTX 1660 Super | 6GB | Optimal | 176 tok/s | Calculate → |
Recommended GPUs for Qwen2.5 0.5B
Benchmarks reais
Sem reviews pagas
Escolha editorial
Baseado em dados
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 →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Qwen2.5 0.5B — Compatibility guide
Qwen2.5 0.5B is an edge model that runs directly on CPU — no GPU required. On an i7-13700K with llama.cpp Q4 it reaches 95 tokens/second, enough for real-time chat. With a GPU you get up to ~342 tok/s with 6 GB VRAM. Ideal for laptops and desktops without a dedicated graphics card.
Compare GPUs for Qwen2.5 0.5B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Qwen2.5 0.5B at Q4 — sorted by AI performance score.
Benchmarks reais
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Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
More Practical Alternatives
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RTX 5090
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