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URL: https://willitrunai.com/can-run/wizardlm-13b-on-radeon-ai-pro-r9700-32gb

⇱ WizardLM 13B on Radeon AI PRO R9700 32GB? YES

Can WizardLM 13B run on Radeon AI PRO R9700 32GB?

YES — Runs Great

A75Great
○Estimated from fit model

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.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: Balanced
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Operating mode

Choose the run profile you care about

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 24.2 GB, 47.6 tok/s, Runs well
24.2 GB required32.0 GB available
76% VRAM used

Fit status

Runs well

Decode

47.6 tok/s

TTFT

4066 ms

Safe context

8K

Memory

24.2 GB / 32.0 GB

Memory breakdown

Weights7.9 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom3.2 GB

See how fast it feels

See how fast it feelsWizardLM 13B on Radeon AI PRO R9700 32GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 47.6 tok/s decode · 4.1s TTFT (warm) · 119 tok/s prefill

What limits this setup

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.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatARuns well47.6 tok/s2218 ms8K
CodingARuns well47.6 tok/s4066 ms8K
Agentic CodingBVery compromised (needs ~1 GB host RAM)27.9 tok/s10083 ms8K
ReasoningARuns well47.6 tok/s4805 ms8K
RAGBVery compromised (needs ~1 GB host RAM)27.9 tok/s12604 ms8K

Quantization options

How WizardLM 13B (13B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.1 GB
LowB64
Q3_K_S
3
6.4 GB
LowB65
NVFP4
4
7.3 GB
MediumB65
Q4_K_M
4
7.9 GB
MediumB65
Q5_K_M
5
9.4 GB
HighB66
Q6_K
6
10.7 GB
HighB67
Q8_0
8
13.9 GB
Very HighB68
F16Best for your GPU
16
26.7 GB
MaximumB69

Get started

Copy-paste commands to run WizardLM 13B on your machine.

Run

lms load WizardLM-13B-V1.0 && lms server start

Your hardware

More models your Radeon AI PRO R9700 32GB can run

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen3-Coder 30B A3B Instruct		30.5BS57.1 tok/s
👁 Alibaba
Qwen 3.5 27B		27BS24.8 tok/s
👁 Alibaba
Qwen 3.6 27B		27BS18.8 tok/s
👁 Alibaba
Qwen 3.6 35B A3B		35BS48 tok/s
👁 Alibaba
Qwen3-VL 30B A3B Instruct		30BS59.1 tok/s

Frequently asked questions

See all results for Radeon AI PRO R9700 32GBSee all hardware for WizardLM 13B