Can Qwen 2.5 Coder 32B run on AMD Instinct MI210 64GB?

YES — Runs Great

A79Great

Estimated from fit model

Qwen 2.5 Coder 32B needs ~30.7 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~62 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) — 30.7 GB, 61.6 tok/s, Runs well

30.7 GB required64.0 GB available

48% VRAM used

Fit status

Runs well

Decode

61.6 tok/s

TTFT

3142 ms

Safe context

131K

Memory

30.7 GB / 64.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom6.4 GB

See how fast it feels

See how fast it feelsQwen 2.5 Coder 32B on AMD Instinct MI210 64GB
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: 61.6 tok/s decode · 3.1s TTFT (warm) · 154 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	61.6 tok/s	1714 ms	131K
Coding	A	Runs well	61.6 tok/s	3142 ms	131K
Agentic Coding	A	Runs well	61.6 tok/s	4569 ms	131K
Reasoning	A	Runs well	61.6 tok/s	3713 ms	131K
RAG	A	Runs well	61.6 tok/s	5712 ms	131K

Quantization options

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	B70
Q3_K_S	3	15.7 GB	Low	A70
NVFP4	4

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 MI210 64GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.6 35B A3B	35B	S	141.5 tok/s

Frequently asked questions

Can AMD Instinct MI210 64GB run Qwen 2.5 Coder 32B?

Yes, AMD Instinct MI210 64GB can run Qwen 2.5 Coder 32B with a A grade (Runs well). Expected decode speed: 61.6 tok/s.

How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 30.7 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 MI210 64GB?

On AMD Instinct MI210 64GB, Qwen 2.5 Coder 32B achieves approximately 61.6 tokens per second decode speed with a time-to-first-token of 3142ms using Q4_K_M quantization.

Can AMD Instinct MI210 64GB run Qwen 2.5 Coder 32B for coding?

For coding workloads, Qwen 2.5 Coder 32B on AMD Instinct MI210 64GB receives a A grade with 61.6 tok/s and 131K context.

What context window can Qwen 2.5 Coder 32B use on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, 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 MI210 64GB See all hardware for Qwen 2.5 Coder 32B

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