Will It Run AI

Can WizardLM 13B run on AMD Instinct MI300X 192GB?

YES — Runs Great

B67Good
Estimated from fit model

WizardLM 13B needs ~40.2 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q4_K_M quantization, expect ~182 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) — 40.2 GB, 182.0 tok/s, Runs well
40.2 GB required192.0 GB available
21% VRAM used

Fit status

Runs well

Decode

182.0 tok/s

TTFT

1064 ms

Safe context

8K

Memory

40.2 GB / 192.0 GB

Memory breakdown

Weights7.9 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom19.2 GB

See how fast it feels

See how fast it feelsWizardLM 13B on AMD Instinct MI300X 192GB
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: 182.0 tok/s decode · 1.1s TTFT (warm) · 455 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
ChatBRuns well182.0 tok/s580 ms8K
CodingBRuns well182.0 tok/s1064 ms8K
Agentic CodingBRuns well182.0 tok/s1547 ms8K
ReasoningBRuns well182.0 tok/s1257 ms8K
RAGBRuns well182.0 tok/s1934 ms8K

Quantization options

How WizardLM 13B (13B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.1 GB
LowB58
Q3_K_S
3
6.4 GB
LowB58
NVFP4
4
7.3 GB
MediumB58
Q4_K_M
4
7.9 GB
MediumB58
Q5_K_M
5
9.4 GB
HighB58
Q6_K
6
10.7 GB
HighB58
Q8_0
8
13.9 GB
Very HighB58
F16Best for your GPU
16
26.7 GB
MaximumB59

Get started

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

Run

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

Frequently asked questions

Can AMD Instinct MI300X 192GB run WizardLM 13B?

Yes, AMD Instinct MI300X 192GB can run WizardLM 13B with a B grade (Runs well). Expected decode speed: 182.0 tok/s.

How much VRAM does WizardLM 13B need?

WizardLM 13B (13B parameters) requires approximately 40.2 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 AMD Instinct MI300X 192GB?

On AMD Instinct MI300X 192GB, WizardLM 13B achieves approximately 182.0 tokens per second decode speed with a time-to-first-token of 1064ms using Q4_K_M quantization.

Can AMD Instinct MI300X 192GB run WizardLM 13B for coding?

For coding workloads, WizardLM 13B on AMD Instinct MI300X 192GB receives a B grade with 182.0 tok/s and 8K context.

What context window can WizardLM 13B use on AMD Instinct MI300X 192GB?

On AMD Instinct MI300X 192GB, 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 AMD Instinct MI300X 192GBSee all hardware for WizardLM 13B
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