32 GB VRAM · Q4 native Amazon
RTX 5090
Vorteile
- Runs Qwen3 1.7B at Q4 natively
- 32 GB VRAM — adequate headroom
CPU-capable model ready
Qwen3 1.7B
40 consumer GPUs can run Qwen3 1.7B at Q4 natively. Precise VRAM thresholds and benchmarks below.
40 Compatible GPUs
1.7B 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 Qwen3 1.7B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Vorteile
- Runs Qwen3 1.7B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Vorteile
- Runs Qwen3 1.7B at Q4 natively
- 128 GB VRAM — adequate headroom
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
How to run this model
CPU vs GPU for Qwen3 1.7B →
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 0.9 GB Entry GPU
System RAM 16 GB
DDR4/DDR5
Storage 0.9 GB Q4 · SSD recommended
CPU i7 → 35 tok/s Runs without GPU
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 3.7 GB | 3.4 GB | Maximum |
| Q8 (high quality) | 1.9 GB | 1.7 GB | Near-lossless |
| Q4 (recommended) Best balance | 0.9 GB | 0.9 GB | Recommended |
| Q2 (minimum) | 0.5 GB | 0.4 GB | Quality loss |
Model Details
| Developer | Alibaba |
| Parameters | 1.7B |
| Context window | 131,072 tokens |
| License | Apache 2.0 |
| Use cases | chat, reasoning |
| Released | 2025-04 |
Install with Ollama
ollama run qwen3:1.7b Hugging Face
Qwen/Qwen3-1.7B Technical Requirements
Can your GPU run Qwen3 1.7B?
Qwen3 1.7B requires <strong class="text-primary-container">0.9 GB VRAM</strong> at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -1.1 GB you'll hit significant offload latency.
0.5GB Critical min
0.9GB Optimal Q4
1.9GB High Quality Q8
3.7GB Max FP16
Hardware Performance Matrix
40 Q4 native · 0 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 330 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 330 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 330 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 330 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 319 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 305 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 326 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 329 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 227 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 330 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 227 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 279 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 323 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 319 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 279 tok/s | Calculate → |
| RTX 3080 | 10GB | Optimal | 315 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 113 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 259 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 213 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 209 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 119 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 179 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Optimal | 253 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Optimal | 119 tok/s | Calculate → |
| RTX 3070 | 8GB | Optimal | 186 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 160 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 63 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Optimal | 186 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Optimal | 186 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 149 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 83 tok/s | Calculate → |
| RTX 4060 | 8GB | Optimal | 113 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 93 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 83 tok/s | Calculate → |
| RX 7600 | 8GB | Optimal | 120 tok/s | Calculate → |
| RX 6600 XT | 8GB | Optimal | 113 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Optimal | 85 tok/s | Calculate → |
| RX 6600 | 8GB | Optimal | 102 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Optimal | 93 tok/s | Calculate → |
| GTX 1660 Super | 6GB | Optimal | 139 tok/s | Calculate → |
Recommended GPUs for Qwen3 1.7B
Reale Benchmarks
Keine bezahlten Reviews
Redaktionelle Auswahl
Datenbasiert
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 →
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
Qwen3 1.7B — Compatibility guide
Qwen3 1.7B is an edge model that runs directly on CPU — no GPU required. On an i7-13700K with llama.cpp Q4 it reaches 35 tokens/second, enough for real-time chat. With a GPU you get up to ~126 tok/s with 6 GB VRAM. Ideal for laptops and desktops without a dedicated graphics card.
Compare GPUs for Qwen3 1.7B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Qwen3 1.7B at Q4 — sorted by AI performance score.
Reale Benchmarks
Keine bezahlten Reviews
Datenbasiert
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
More Practical Alternatives
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RTX 5090
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