Can Pixtral Large 124B run on AMD Instinct MI300A 128GB?

YES — Runs Great

S94Excellent

Estimated from fit model

Pixtral Large 124B needs ~94.7 GB VRAM. AMD Instinct MI300A 128GB has 128.0 GB. With Q4_K_M quantization, expect ~49 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced

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) — 94.7 GB, 53.3 tok/s, Runs well

94.7 GB required128.0 GB available

74% VRAM used

Fit status

Runs well

Decode

53.3 tok/s

TTFT

3630 ms

Safe context

115K

Memory

94.7 GB / 128.0 GB

Memory breakdown

Weights75.6 GB

KV Cache5.4 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsPixtral Large 124B on AMD Instinct MI300A 128GB
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: 53.3 tok/s decode · 3.6s TTFT (warm) · 133 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	53.3 tok/s	1980 ms	115K
Coding	S	Runs well	49.0 tok/s	3947 ms	115K
Agentic Coding	S	Runs well	53.3 tok/s	5279 ms	115K
Reasoning	S	Runs well	53.3 tok/s	4289 ms	115K
RAG	S	Runs well	53.3 tok/s	6599 ms	115K

Quantization options

How Pixtral Large 124B (124B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	48.4 GB	Low	A84
Q3_K_S	3	60.8 GB	Low	S86
NVFP4	4

Get started

Copy-paste commands to run Pixtral Large 124B on your machine.

Run

lms load Pixtral-Large-Instruct-2411 && lms server start

Frequently asked questions

Can AMD Instinct MI300A 128GB run Pixtral Large 124B?

Yes, AMD Instinct MI300A 128GB can run Pixtral Large 124B with a S grade (Runs well). Expected decode speed: 49.0 tok/s.

How much VRAM does Pixtral Large 124B need?

Pixtral Large 124B (124B parameters) requires approximately 94.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Pixtral Large 124B?

The recommended quantization for Pixtral Large 124B is Q4_K_M, which balances quality and memory efficiency.

What speed will Pixtral Large 124B run at on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, Pixtral Large 124B achieves approximately 49.0 tokens per second decode speed with a time-to-first-token of 3947ms using Q4_K_M quantization.

Can AMD Instinct MI300A 128GB run Pixtral Large 124B for coding?

For coding workloads, Pixtral Large 124B on AMD Instinct MI300A 128GB receives a S grade with 49.0 tok/s and 115K context.

What context window can Pixtral Large 124B use on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, Pixtral Large 124B can safely use up to 115K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI300A 128GB See all hardware for Pixtral Large 124B

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