Can Qwen 2.5 Coder 32B run on AMD Instinct MI350X 288GB?

YES — Runs Great

A74Great

Estimated from fit model

Qwen 2.5 Coder 32B needs ~53.1 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~323 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) — 53.1 GB, 323.1 tok/s, Runs well

53.1 GB required288.0 GB available

18% VRAM used

Fit status

Runs well

Decode

323.1 tok/s

TTFT

599 ms

Safe context

131K

Memory

53.1 GB / 288.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom28.8 GB

See how fast it feels

See how fast it feelsQwen 2.5 Coder 32B on AMD Instinct MI350X 288GB
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: 323.1 tok/s decode · 599ms TTFT (warm) · 808 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	A	Runs well	323.1 tok/s	350 ms	131K
Coding	A	Runs well	323.1 tok/s	599 ms	131K
Agentic Coding	A	Runs well	323.1 tok/s	872 ms	131K
Reasoning	A	Runs well	323.1 tok/s	708 ms	131K
RAG	A	Runs well	323.1 tok/s	1089 ms	131K

Quantization options

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	B64
Q3_K_S	3	15.7 GB	Low	B64
NVFP4	4	17.9 GB	Medium	B64
Q4_K_M	4	19.5 GB	Medium	B64
Q5_K_M	5	23.0 GB	High	B65
Q6_K	6	26.2 GB	High	B65
Q8_0	8	34.2 GB	Very High	B66
F16Best for your GPU	16	65.6 GB	Maximum	B68

Get started

Copy-paste commands to run Qwen 2.5 Coder 32B on your machine.

Run

ollama run qwen2.5-coder

Your hardware

More models your AMD Instinct MI350X 288GB can run

Model	Params	Grade	Decode
Qwen 3.5 397B A17B	397B	S	78.9 tok/s
Devstral 2 123B Instruct	123B	S	84.6 tok/s
Qwen 3.5 122B A10B	122B	S	234.8 tok/s
DeepSeek V4 Flash	284B	S	125.8 tok/s
Qwen 3.6 35B A3B	35B	S	742.2 tok/s

Frequently asked questions

Can AMD Instinct MI350X 288GB run Qwen 2.5 Coder 32B?

Yes, AMD Instinct MI350X 288GB can run Qwen 2.5 Coder 32B with a A grade (Runs well). Expected decode speed: 323.1 tok/s.

How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 53.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 32B?

The recommended quantization for Qwen 2.5 Coder 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 Coder 32B run at on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Qwen 2.5 Coder 32B achieves approximately 323.1 tokens per second decode speed with a time-to-first-token of 599ms using Q4_K_M quantization.

Can AMD Instinct MI350X 288GB run Qwen 2.5 Coder 32B for coding?

For coding workloads, Qwen 2.5 Coder 32B on AMD Instinct MI350X 288GB receives a A grade with 323.1 tok/s and 131K context.

What context window can Qwen 2.5 Coder 32B use on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Qwen 2.5 Coder 32B 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 MI350X 288GB See all hardware for Qwen 2.5 Coder 32B

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Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

323.1 tok/s

350 ms

131K

Coding

Runs well

323.1 tok/s

599 ms

131K

Agentic Coding

Runs well

323.1 tok/s

872 ms

131K

Reasoning

Runs well

323.1 tok/s

708 ms

131K

RAG

Runs well

323.1 tok/s

1089 ms

131K

Quantization options

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	B64
Q3_K_S	3	15.7 GB	Low	B64
NVFP4	4	17.9 GB	Medium	B64
Q4_K_M	4	19.5 GB	Medium	B64
Q5_K_M	5	23.0 GB	High	B65
Q6_K	6	26.2 GB	High	B65
Q8_0	8	34.2 GB	Very High	B66
F16Best for your GPU	16	65.6 GB	Maximum	B68

Model

Params

Grade

Decode

Capabilities

Qwen 3.5 397B A17B

397B

78.9 tok/s

Devstral 2 123B Instruct

123B

84.6 tok/s

Qwen 3.5 122B A10B

122B

234.8 tok/s

DeepSeek V4 Flash

284B

125.8 tok/s

Qwen 3.6 35B A3B

35B

742.2 tok/s

Frequently asked questions

Can AMD Instinct MI350X 288GB run Qwen 2.5 Coder 32B?

Yes, AMD Instinct MI350X 288GB can run Qwen 2.5 Coder 32B with a A grade (Runs well). Expected decode speed: 323.1 tok/s.

How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 53.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 32B?

The recommended quantization for Qwen 2.5 Coder 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 Coder 32B run at on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Qwen 2.5 Coder 32B achieves approximately 323.1 tokens per second decode speed with a time-to-first-token of 599ms using Q4_K_M quantization.

Can AMD Instinct MI350X 288GB run Qwen 2.5 Coder 32B for coding?

For coding workloads, Qwen 2.5 Coder 32B on AMD Instinct MI350X 288GB receives a A grade with 323.1 tok/s and 131K context.

What context window can Qwen 2.5 Coder 32B use on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Qwen 2.5 Coder 32B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.