Can Qwen3-Coder 30B A3B Instruct run on AMD Instinct MI250X 128GB?

YES — Runs Great

S91Excellent

Estimated from fit model

Qwen3-Coder 30B A3B Instruct needs ~33.8 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q4_K_M quantization, expect ~377 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) — 33.8 GB, 377.4 tok/s, Runs well

33.8 GB required128.0 GB available

26% VRAM used

Fit status

Runs well

Decode

377.4 tok/s

TTFT

513 ms

Safe context

256K

Memory

33.8 GB / 128.0 GB

Memory breakdown

Weights18.6 GB

KV Cache1.5 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen3-Coder 30B A3B Instruct on AMD Instinct MI250X 128GB
1st promptCold start — includes initialization
>Write a Python function to sort a list
Here's a Python function that sorts a list using quicksort:

def quicksort(arr):
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left   = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right  = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

# Example usage
numbers = [3, 6, 8, 10, 1, 2, 1]
print(quicksort(numbers))  # [1, 1, 2, 3, 6, 8, 10]

The algorithm picks a pivot, partitions the list into smaller, equal, and larger elements, then recursively sorts each partition and concatenates the results.
2nd promptWarm — model ready, no init overhead
>Now add type hints and a docstring
def quicksort(arr: list[int]) -> list[int]:
    """Sort a list using the quicksort algorithm.

    Args:
        arr: List of integers to sort.

    Returns:
        A new sorted list.
    """
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left   = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right  = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

Added type hints for the input and return type, plus a Google-style docstring.
Estimated: 377.4 tok/s decode · 513ms TTFT (warm) · 944 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	377.4 tok/s	350 ms	256K
Coding	S	Runs well	377.4 tok/s	513 ms	256K
Agentic Coding	S	Runs well	377.4 tok/s	746 ms	256K
Reasoning	S	Runs well	377.4 tok/s	606 ms	256K
RAG	S	Runs well	377.4 tok/s	933 ms	256K

Quantization options

How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.9 GB	Low	A82
Q3_K_S	3	14.9 GB	Low	A82
NVFP4	4	17.1 GB	Medium	A82
Q4_K_M	4	18.6 GB	Medium	A82
Q5_K_M	5	22.0 GB	High	A82
Q6_K	6	25.0 GB	High	A83
Q8_0	8	32.6 GB	Very High	A84
F16Best for your GPU	16	62.5 GB	Maximum	S89

Get started

Copy-paste commands to run Qwen3-Coder 30B A3B Instruct on your machine.

Run

ollama run qwen3-coder

Your hardware

More models your AMD Instinct MI250X 128GB can run

Model	Params	Grade	Decode	Capabilities
Devstral 2 123B Instruct	123B	S	36.2 tok/s

Frequently asked questions

Can AMD Instinct MI250X 128GB run Qwen3-Coder 30B A3B Instruct?

Yes, AMD Instinct MI250X 128GB can run Qwen3-Coder 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 377.4 tok/s.

How much VRAM does Qwen3-Coder 30B A3B Instruct need?

Qwen3-Coder 30B A3B Instruct (30.5B parameters) requires approximately 33.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3-Coder 30B A3B Instruct?

The recommended quantization for Qwen3-Coder 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen3-Coder 30B A3B Instruct run at on AMD Instinct MI250X 128GB?

On AMD Instinct MI250X 128GB, Qwen3-Coder 30B A3B Instruct achieves approximately 377.4 tokens per second decode speed with a time-to-first-token of 513ms using Q4_K_M quantization.

Can AMD Instinct MI250X 128GB run Qwen3-Coder 30B A3B Instruct for coding?

For coding workloads, Qwen3-Coder 30B A3B Instruct on AMD Instinct MI250X 128GB receives a S grade with 377.4 tok/s and 256K context.

What context window can Qwen3-Coder 30B A3B Instruct use on AMD Instinct MI250X 128GB?

On AMD Instinct MI250X 128GB, Qwen3-Coder 30B A3B Instruct can safely use up to 256K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI250X 128GB See all hardware for Qwen3-Coder 30B A3B Instruct

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<iframe src="https://willitrunai.com/embed/qwen-3-coder-30b-a3b-on-instinct-mi250x-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

377.4 tok/s

350 ms

256K

Coding

Runs well

377.4 tok/s

513 ms

256K

Agentic Coding

Runs well

377.4 tok/s

746 ms

256K

Reasoning

Runs well

377.4 tok/s

606 ms

256K

RAG

Runs well

377.4 tok/s

933 ms

256K

Quantization options

How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.9 GB	Low	A82
Q3_K_S	3	14.9 GB	Low	A82
NVFP4	4	17.1 GB	Medium	A82
Q4_K_M	4	18.6 GB	Medium	A82
Q5_K_M	5	22.0 GB	High	A82
Q6_K	6	25.0 GB	High	A83
Q8_0	8	32.6 GB	Very High	A84
F16Best for your GPU	16	62.5 GB	Maximum	S89

Model

Params

Grade

Decode

Capabilities

Devstral 2 123B Instruct

123B

36.2 tok/s