Qwen 3 8B needs ~10.7 GB VRAM. RTX 4500 Ada 24GB has 24.0 GB. With Q4_K_M quantization, expect ~75 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
75.2 tok/s
TTFT
2575 ms
Safe context
113K
Memory
10.7 GB / 24.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 75.2 tok/s | 1405 ms | 113K |
| Coding | S | Runs well | 75.2 tok/s | 2575 ms | 113K |
| Agentic Coding | S | Runs well | 69.9 tok/s | 4027 ms | 113K |
| Reasoning | S | Runs well | 75.2 tok/s | 3043 ms | 113K |
| RAG | S | Runs well | 75.2 tok/s | 4682 ms | 113K |
How Qwen 3 8B (8B params) fits at each quantization level on RTX 4500 Ada 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | A84 |
Q3_K_S | 3 | 3.9 GB | Low | A85 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3 8B on your machine.
Run
ollama run qwen3:8bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 51.6 tok/s | ||
| 27B | S | 22.4 tok/s |
Yes, RTX 4500 Ada 24GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 75.2 tok/s.
Qwen 3 8B (8B parameters) requires approximately 10.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 4500 Ada 24GB, Qwen 3 8B achieves approximately 75.2 tokens per second decode speed with a time-to-first-token of 2575ms using Q4_K_M quantization.
For coding workloads, Qwen 3 8B on RTX 4500 Ada 24GB receives a S grade with 75.2 tok/s and 113K context.
On RTX 4500 Ada 24GB, Qwen 3 8B can safely use up to 113K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3-8b-on-rtx-4500-ada-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.5 GB |
| Medium |
| S85 |
Q4_K_M | 4 | 4.9 GB | Medium | S85 |
Q5_K_M | 5 | 5.8 GB | High | S86 |
Q6_K | 6 | 6.6 GB | High | S86 |
Q8_0 | 8 | 8.6 GB | Very High | S88 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | S90 |
| 27B | S | 22.4 tok/s |
| 30B | S | 53.4 tok/s |
| 9B | S | 66.8 tok/s |