Will It Run AI

Can WizardLM 13B run on Radeon PRO W7900 DS 48GB?

YES — Runs Great

A73Great
Estimated from fit model

WizardLM 13B needs ~25.8 GB VRAM. Radeon PRO W7900 DS 48GB has 48.0 GB. With Q4_K_M quantization, expect ~64 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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) — 25.8 GB, 64.3 tok/s, Runs well
25.8 GB required48.0 GB available
54% VRAM used

Fit status

Runs well

Decode

64.3 tok/s

TTFT

3012 ms

Safe context

8K

Memory

25.8 GB / 48.0 GB

Memory breakdown

Weights7.9 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom4.8 GB

See how fast it feels

See how fast it feelsWizardLM 13B on Radeon PRO W7900 DS 48GB
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: 64.3 tok/s decode · 3.0s TTFT (warm) · 161 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 well64.3 tok/s1643 ms8K
CodingARuns well64.3 tok/s3012 ms8K
Agentic CodingARuns well64.3 tok/s4381 ms8K
ReasoningARuns well64.3 tok/s3559 ms8K
RAGARuns well64.3 tok/s5476 ms8K

Quantization options

How WizardLM 13B (13B params) fits at each quantization level on Radeon PRO W7900 DS 48GB (48.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.1 GB
LowB62
Q3_K_S
3
6.4 GB
LowB63
NVFP4
4
7.3 GB
MediumB63
Q4_K_M
4
7.9 GB
MediumB63
Q5_K_M
5
9.4 GB
HighB63
Q6_K
6
10.7 GB
HighB64
Q8_0
8
13.9 GB
Very HighB65
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 PRO W7900 DS 48GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS77.1 tok/s
AlibabaQwen 3.5 27B27BS33.4 tok/s
AlibabaQwen 3.6 27B27BS23.9 tok/s
AlibabaQwen 3.6 35B A3B35BS64.8 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS79.7 tok/s

Frequently asked questions

Can Radeon PRO W7900 DS 48GB run WizardLM 13B?

Yes, Radeon PRO W7900 DS 48GB can run WizardLM 13B with a A grade (Runs well). Expected decode speed: 64.3 tok/s.

How much VRAM does WizardLM 13B need?

WizardLM 13B (13B parameters) requires approximately 25.8 GB of memory with Q4_K_M quantization.

What is the best quantization for WizardLM 13B?

The recommended quantization for WizardLM 13B is Q4_K_M, which balances quality and memory efficiency.

What speed will WizardLM 13B run at on Radeon PRO W7900 DS 48GB?

On Radeon PRO W7900 DS 48GB, WizardLM 13B achieves approximately 64.3 tokens per second decode speed with a time-to-first-token of 3012ms using Q4_K_M quantization.

Can Radeon PRO W7900 DS 48GB run WizardLM 13B for coding?

For coding workloads, WizardLM 13B on Radeon PRO W7900 DS 48GB receives a A grade with 64.3 tok/s and 8K context.

What context window can WizardLM 13B use on Radeon PRO W7900 DS 48GB?

On Radeon PRO W7900 DS 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.

See all results for Radeon PRO W7900 DS 48GBSee all hardware for WizardLM 13B
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