WizardLM 13B needs ~26.1 GB VRAM. RTX PRO 5000 Blackwell 48GB has 48.0 GB. With Q4_K_M quantization, expect ~142 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
142.4 tok/s
TTFT
1360 ms
Safe context
8K
Memory
26.1 GB / 48.0 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 | A | Runs well | 142.4 tok/s | 742 ms | 8K |
| Coding | A | Runs well | 142.4 tok/s | 1360 ms | 8K |
| Agentic Coding | A | Runs well | 142.4 tok/s | 1978 ms | 8K |
| Reasoning | A | Runs well | 142.4 tok/s | 1607 ms | 8K |
| RAG | A | Runs well | 142.4 tok/s | 2473 ms | 8K |
How WizardLM 13B (13B params) fits at each quantization level on RTX PRO 5000 Blackwell 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B62 |
Q3_K_S | 3 | 6.4 GB | Low | B63 |
NVFP4 | 4 | 7.3 GB | Medium | B63 |
Q4_K_M | 4 | 7.9 GB | Medium | B63 |
Q5_K_M | 5 | 9.4 GB | High | B63 |
Q6_K | 6 | 10.7 GB | High | B64 |
Q8_0 | 8 | 13.9 GB | Very High | B65 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | B69 |
Copy-paste commands to run WizardLM 13B on your machine.
Run
lms load WizardLM-13B-V1.0 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 170.7 tok/s | |
| Qwen 3.5 27B | 27B | S | 74 tok/s | |
| Qwen 3.6 27B | 27B | S | 74.3 tok/s | |
| Qwen 3.6 35B A3B | 35B | S | 143.5 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 176.6 tok/s |
Yes, RTX PRO 5000 Blackwell 48GB can run WizardLM 13B with a A grade (Runs well). Expected decode speed: 142.4 tok/s.
WizardLM 13B (13B parameters) requires approximately 26.1 GB of memory with Q4_K_M quantization.
The recommended quantization for WizardLM 13B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 5000 Blackwell 48GB, WizardLM 13B achieves approximately 142.4 tokens per second decode speed with a time-to-first-token of 1360ms using Q4_K_M quantization.
For coding workloads, WizardLM 13B on RTX PRO 5000 Blackwell 48GB receives a A grade with 142.4 tok/s and 8K context.
On RTX PRO 5000 Blackwell 48GB, WizardLM 13B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/wizardlm-13b-on-rtx-pro-5000-blackwell-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: