DeepSeek R1 0528 Qwen3 8B needs ~8.6 GB VRAM. RTX 2000 Ada 16GB has 16.0 GB. With Q4_K_M quantization, expect ~45 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
44.9 tok/s
TTFT
4316 ms
Safe context
142K
Memory
8.6 GB / 16.0 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 | 44.9 tok/s | 2354 ms | 142K |
| Coding | C | Runs well | 44.9 tok/s | 4316 ms | 142K |
| Agentic Coding | C | Runs well | 44.9 tok/s | 6278 ms | 142K |
| Reasoning | C | Runs well | 44.9 tok/s | 5101 ms | 142K |
| RAG | C | Runs well | 44.9 tok/s | 7848 ms | 142K |
How DeepSeek R1 0528 Qwen3 8B (8B params) fits at each quantization level on RTX 2000 Ada 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 | C49 |
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 | C51 |
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-unsloth--deepseek-r1-0528-qwen3-8b-gguf && lms server startUpgrade-Optionen
Raises estimated decode speed by about 119%.
Adds memory headroom for longer context windows and future model growth.
ca. $899 MSRP
RTX A4500 20GBGünstige WahlRaises estimated decode speed by about 128%.
Adds memory headroom for longer context windows and future model growth.
ca. $2,000 MSRP
Yes, RTX 2000 Ada 16GB can run DeepSeek R1 0528 Qwen3 8B with a C grade (Runs well). Expected decode speed: 44.9 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 RTX 2000 Ada 16GB, DeepSeek R1 0528 Qwen3 8B achieves approximately 44.9 tokens per second decode speed with a time-to-first-token of 4316ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 0528 Qwen3 8B on RTX 2000 Ada 16GB receives a C grade with 44.9 tok/s and 142K context.
On RTX 2000 Ada 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-unsloth--deepseek-r1-0528-qwen3-8b-gguf-on-rtx-2000-ada-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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