Can Qwen 3.5 35B A3B run on AMD Instinct MI250 128GB?

YES — Runs Great

S90Excellent

○Estimated from fit model

Qwen 3.5 35B A3B needs ~36.5 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~301 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) — 36.5 GB, 300.7 tok/s, Runs well

36.5 GB required128.0 GB available

29% VRAM used

Fit status

Runs well

Decode

300.7 tok/s

TTFT

644 ms

Safe context

131K

Memory

36.5 GB / 128.0 GB

Memory breakdown

Weights21.3 GB

KV Cache1.5 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen 3.5 35B A3B 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: 300.7 tok/s decode · 644ms TTFT (warm) · 752 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	300.7 tok/s	351 ms	131K
Coding	S	Runs well	300.7 tok/s	644 ms	131K
Agentic Coding	S	Runs well	300.7 tok/s	936 ms	131K
Reasoning	S	Runs well	300.7 tok/s	761 ms	131K
RAG	S	Runs well	300.7 tok/s	1171 ms	131K

Quantization options

How Qwen 3.5 35B A3B (35B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	13.7 GB	Low	A80
Q3_K_S	3	17.2 GB	Low	A80
NVFP4	4	19.6 GB	Medium	A81
Q4_K_M	4	21.3 GB	Medium	A81
Q5_K_M	5	25.2 GB	High	A81
Q6_K	6	28.7 GB	High	A82
Q8_0	8	37.5 GB	Very High	A83
F16Best for your GPU	16	71.8 GB	Maximum	S89

Get started

Copy-paste commands to run Qwen 3.5 35B A3B on your machine.

Run

ollama run qwen3.5:35b-a3b

Your hardware

More models your AMD Instinct MI250 128GB can run

Model	Params	Grade	Decode	Capabilities
👁 Mistral Devstral 2 123B Instruct	123B	S	31.5 tok/s
👁 Alibaba Qwen 3.5 122B A10B	122B	S	87.5 tok/s

Frequently asked questions

See all results for AMD Instinct MI250 128GB See all hardware for Qwen 3.5 35B A3B

URL: https://willitrunai.com/can-run/qwen-3.5-35b-a3b-on-instinct-mi250-128gb

⇱ Qwen 3.5 35B A3B on AMD Instinct MI250 128GB? YES