DeepSeek R1 0528 Qwen3 8B needs ~9.4 GB VRAM. RTX 4500 Ada 24GB has 24.0 GB. With Q4_K_M quantization, expect ~70 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
69.9 tok/s
TTFT
2768 ms
Safe context
265K
Memory
9.4 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 | C | Runs well | 69.9 tok/s | 1510 ms | 265K |
| Coding | C | Runs well | 69.9 tok/s | 2768 ms | 265K |
| Agentic Coding | C | Runs well | 69.9 tok/s | 4027 ms | 265K |
| Reasoning | C | Runs well | 69.9 tok/s | 3272 ms | 265K |
| RAG | C | Runs well | 69.9 tok/s | 5033 ms | 265K |
How DeepSeek R1 0528 Qwen3 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 | C45 |
Q3_K_S | 3 | 3.9 GB | Low | C45 |
NVFP4 | 4 | 4.5 GB | Medium | C45 |
Q4_K_M | 4 | 4.9 GB | Medium | C46 |
Q5_K_M | 5 | 5.8 GB | High | C46 |
Q6_K | 6 | 6.6 GB | High | C46 |
Q8_0 | 8 | 8.6 GB | Very High | C48 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | C50 |
Copy-paste commands to run DeepSeek R1 0528 Qwen3 8B on your machine.
Run
lms load hf-lmstudio-community--deepseek-r1-0528-qwen3-8b-gguf && lms server startYes, RTX 4500 Ada 24GB can run DeepSeek R1 0528 Qwen3 8B with a C grade (Runs well). Expected decode speed: 69.9 tok/s.
DeepSeek R1 0528 Qwen3 8B (8B parameters) requires approximately 9.4 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 0528 Qwen3 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 4500 Ada 24GB, DeepSeek R1 0528 Qwen3 8B achieves approximately 69.9 tokens per second decode speed with a time-to-first-token of 2768ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 0528 Qwen3 8B on RTX 4500 Ada 24GB receives a C grade with 69.9 tok/s and 265K context.
On RTX 4500 Ada 24GB, DeepSeek R1 0528 Qwen3 8B can safely use up to 265K tokens of context. The model's official context limit is —, 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/hf-lmstudio-community--deepseek-r1-0528-qwen3-8b-gguf-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: