DeepSeek R1 0528 Qwen3 8B needs ~8.6 GB VRAM. NVIDIA T4 16GB has 16.0 GB. With Q4_K_M quantization, expect ~43 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
42.6 tok/s
TTFT
4542 ms
Safe context
142K
Memory
8.6 GB / 16.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 42.6 tok/s | 2478 ms | 142K |
| Coding | C | Runs well | 42.6 tok/s | 4542 ms | 142K |
| Agentic Coding | C | Runs well | 42.6 tok/s | 6607 ms | 142K |
| Reasoning | C | Runs well | 42.6 tok/s | 5368 ms | 142K |
| RAG | C | Runs well | 42.6 tok/s | 8258 ms | 142K |
How DeepSeek R1 0528 Qwen3 8B (8B params) fits at each quantization level on NVIDIA T4 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C47 |
Q3_K_S | 3 | 3.9 GB | Low | C48 |
NVFP4 | 4 | 4.5 GB | Medium | C48 |
Q4_K_M | 4 | 4.9 GB | Medium | C49 |
Q5_K_M | 5 | 5.8 GB | High | C50 |
Q6_K | 6 | 6.6 GB | High | C50 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C52 |
F16 | 16 | 16.4 GB | Maximum | F0 |
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 startOpciones de mejora
Sube la velocidad estimada de decodificación alrededor de un 131%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$899 MSRP
RTX A4500 20GBOpción económicaSube la velocidad estimada de decodificación alrededor de un 140%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$2,000 MSRP
Yes, NVIDIA T4 16GB can run DeepSeek R1 0528 Qwen3 8B with a C grade (Runs well). Expected decode speed: 42.6 tok/s.
DeepSeek R1 0528 Qwen3 8B (8B parameters) requires approximately 8.6 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 NVIDIA T4 16GB, DeepSeek R1 0528 Qwen3 8B achieves approximately 42.6 tokens per second decode speed with a time-to-first-token of 4542ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 0528 Qwen3 8B on NVIDIA T4 16GB receives a C grade with 42.6 tok/s and 142K context.
On NVIDIA T4 16GB, DeepSeek R1 0528 Qwen3 8B can safely use up to 142K 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-t4-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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