Can Qwen 3.5 27B run on AMD Instinct MI250 128GB?

YES — Runs Great

S90Excellent

Estimated from fit model

Qwen 3.5 27B needs ~33.3 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~143 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) — 33.3 GB, 142.7 tok/s, Runs well

33.3 GB required128.0 GB available

26% VRAM used

Fit status

Runs well

Decode

142.7 tok/s

TTFT

1357 ms

Safe context

131K

Memory

33.3 GB / 128.0 GB

Memory breakdown

Weights16.5 GB

KV Cache3.2 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen 3.5 27B on AMD Instinct MI250 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: 142.7 tok/s decode · 1.4s TTFT (warm) · 357 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	142.7 tok/s	740 ms	131K
Coding	S	Runs well	142.7 tok/s	1357 ms	131K
Agentic Coding	S	Runs well	142.7 tok/s	1974 ms	131K
Reasoning	S	Runs well	142.7 tok/s	1603 ms	131K
RAG	S	Runs well	142.7 tok/s	2467 ms	131K

Quantization options

How Qwen 3.5 27B (27B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	A81
Q3_K_S	3	13.2 GB	Low	A81
NVFP4	4	15.1 GB	Medium	A81
Q4_K_M	4	16.5 GB	Medium	A81
Q5_K_M	5	19.4 GB	High	A82
Q6_K	6	22.1 GB	High	A82
Q8_0	8	28.9 GB	Very High	A83
F16Best for your GPU	16	55.4 GB	Maximum	S87

Get started

Copy-paste commands to run Qwen 3.5 27B on your machine.

Run

ollama run qwen3.5:27b

Your hardware

More models your AMD Instinct MI250 128GB can run

Model	Params	Grade	Decode	Capabilities
Devstral 2 123B Instruct	123B	S	31.5 tok/s
Qwen3-Coder 30B A3B Instruct	30.5B	S	329 tok/s

Frequently asked questions

Can AMD Instinct MI250 128GB run Qwen 3.5 27B?

Yes, AMD Instinct MI250 128GB can run Qwen 3.5 27B with a S grade (Runs well). Expected decode speed: 142.7 tok/s.

How much VRAM does Qwen 3.5 27B need?

Qwen 3.5 27B (27B parameters) requires approximately 33.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3.5 27B?

The recommended quantization for Qwen 3.5 27B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3.5 27B run at on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Qwen 3.5 27B achieves approximately 142.7 tokens per second decode speed with a time-to-first-token of 1357ms using Q4_K_M quantization.

Can AMD Instinct MI250 128GB run Qwen 3.5 27B for coding?

For coding workloads, Qwen 3.5 27B on AMD Instinct MI250 128GB receives a S grade with 142.7 tok/s and 131K context.

What context window can Qwen 3.5 27B use on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Qwen 3.5 27B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI250 128GB See all hardware for Qwen 3.5 27B

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<iframe src="https://willitrunai.com/embed/qwen-3.5-27b-on-instinct-mi250-128gb" 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

142.7 tok/s

740 ms

131K

Coding

Runs well

142.7 tok/s

1357 ms

131K

Agentic Coding

Runs well

142.7 tok/s

1974 ms

131K

Reasoning

Runs well

142.7 tok/s

1603 ms

131K

RAG

Runs well

142.7 tok/s

2467 ms

131K

Quantization options

How Qwen 3.5 27B (27B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	A81
Q3_K_S	3	13.2 GB	Low	A81
NVFP4	4	15.1 GB	Medium	A81
Q4_K_M	4	16.5 GB	Medium	A81
Q5_K_M	5	19.4 GB	High	A82
Q6_K	6	22.1 GB	High	A82
Q8_0	8	28.9 GB	Very High	A83
F16Best for your GPU	16	55.4 GB	Maximum	S87

Model

Params

Grade

Decode

Capabilities

Devstral 2 123B Instruct

123B

31.5 tok/s

Qwen3-Coder 30B A3B Instruct

30.5B

329 tok/s

Frequently asked questions

Can AMD Instinct MI250 128GB run Qwen 3.5 27B?

Yes, AMD Instinct MI250 128GB can run Qwen 3.5 27B with a S grade (Runs well). Expected decode speed: 142.7 tok/s.

How much VRAM does Qwen 3.5 27B need?

Qwen 3.5 27B (27B parameters) requires approximately 33.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3.5 27B?

The recommended quantization for Qwen 3.5 27B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3.5 27B run at on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Qwen 3.5 27B achieves approximately 142.7 tokens per second decode speed with a time-to-first-token of 1357ms using Q4_K_M quantization.

Can AMD Instinct MI250 128GB run Qwen 3.5 27B for coding?

For coding workloads, Qwen 3.5 27B on AMD Instinct MI250 128GB receives a S grade with 142.7 tok/s and 131K context.

What context window can Qwen 3.5 27B use on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Qwen 3.5 27B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.