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URL: https://willitrunai.com/can-run/llama-4-maverick-17b-128e-on-instinct-mi350x-288gb

⇱ Llama 4 Maverick 17B 128E on AMD Instinct MI350X 288GB? YES

Can Llama 4 Maverick 17B 128E run on AMD Instinct MI350X 288GB?

YES — With Offload

S88Excellent
○Estimated from fit model

Llama 4 Maverick 17B 128E needs ~276.6 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~77 tok/s.

Runtime: llama.cppCapacity: OffloadBandwidth: HighStack: StandardBottleneck: Balanced
Share:

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) — 276.6 GB, 77.4 tok/s, Runs with offload
276.6 GB required288.0 GB available
96% VRAM used

Fit status

Runs with offload

Decode

77.4 tok/s

TTFT

2502 ms

Safe context

78K

Memory

276.6 GB / 288.0 GB

Memory breakdown

Weights244.0 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom28.8 GB

See how fast it feels

See how fast it feelsLlama 4 Maverick 17B 128E on AMD Instinct MI350X 288GB
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: 77.4 tok/s decode · 2.5s TTFT (warm) · 194 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Very little memory headroom

You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.

Best improvement path

Buy headroom, not only minimum fit

A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatSRuns with offload77.4 tok/s1364 ms78K
CodingSRuns with offload77.4 tok/s2502 ms78K
Agentic CodingSRuns with offload77.4 tok/s3639 ms78K
ReasoningSRuns with offload77.4 tok/s2956 ms78K
RAGSRuns with offload77.4 tok/s4548 ms78K

Quantization options

How Llama 4 Maverick 17B 128E (400B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
156.0 GB
LowA82
Q3_K_S
3
196.0 GB
LowA82
NVFP4Best for your GPU
4
224.0 GB
MediumA82
Q4_K_M
4
244.0 GB
MediumF0
Q5_K_M
5
288.0 GB
HighF0
Q6_K
6
328.0 GB
HighF0
Q8_0
8
428.0 GB
Very HighF0
F16
16
820.0 GB
MaximumF0

Get started

Copy-paste commands to run Llama 4 Maverick 17B 128E on your machine.

Run

lms load Llama-4-Maverick-17B-128E-Instruct && lms server start

Your hardware

More models your AMD Instinct MI350X 288GB can run

ModelParamsGradeDecodeCapabilities
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Qwen3-Coder 480B A35B Instruct		480BA35.3 tok/s

Frequently asked questions

See all results for AMD Instinct MI350X 288GBSee all hardware for Llama 4 Maverick 17B 128E