WizardLM 13B needs ~24.2 GB VRAM. Radeon AI PRO R9700 32GB has 32.0 GB. With Q4_K_M quantization, expect ~48 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
47.6 tok/s
TTFT
4066 ms
Safe context
8K
Memory
24.2 GB / 32.0 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 | 47.6 tok/s | 2218 ms | 8K |
| Coding | A | Runs well | 47.6 tok/s | 4066 ms | 8K |
| Agentic Coding | B | Very compromised (needs ~1 GB host RAM) | 27.9 tok/s | 10083 ms | 8K |
| Reasoning | A | Runs well | 47.6 tok/s | 4805 ms | 8K |
| RAG | B | Very compromised (needs ~1 GB host RAM) | 27.9 tok/s | 12604 ms | 8K |
How WizardLM 13B (13B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B64 |
Q3_K_S | 3 | 6.4 GB | Low | B65 |
NVFP4 | 4 |
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 | 57.1 tok/s | |
| Qwen 3.5 27B | 27B | S | 24.8 tok/s |
Yes, Radeon AI PRO R9700 32GB can run WizardLM 13B with a A grade (Runs well). Expected decode speed: 47.6 tok/s.
WizardLM 13B (13B parameters) requires approximately 24.2 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 Radeon AI PRO R9700 32GB, WizardLM 13B achieves approximately 47.6 tokens per second decode speed with a time-to-first-token of 4066ms using Q4_K_M quantization.
For coding workloads, WizardLM 13B on Radeon AI PRO R9700 32GB receives a A grade with 47.6 tok/s and 8K context.
On Radeon AI PRO R9700 32GB, 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-radeon-ai-pro-r9700-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.3 GB |
| Medium |
| B65 |
Q4_K_M | 4 | 7.9 GB | Medium | B65 |
Q5_K_M | 5 | 9.4 GB | High | B66 |
Q6_K | 6 | 10.7 GB | High | B67 |
Q8_0 | 8 | 13.9 GB | Very High | B68 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | B69 |
| Qwen 3.6 27B | 27B | S | 18.8 tok/s |
| Qwen 3.6 35B A3B | 35B | S | 48 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 59.1 tok/s |