Can Qwen 2.5 Coder 7B run on RX 6950 XT 16GB?

YES — Runs Great

A71Great

Estimated from fit model

Qwen 2.5 Coder 7B needs ~7.6 GB VRAM. RX 6950 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~78 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: 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) — 7.6 GB, 84.9 tok/s, Runs well

7.6 GB required16.0 GB available

48% VRAM used

Fit status

Runs well

Decode

84.9 tok/s

TTFT

2279 ms

Safe context

131K

Memory

7.6 GB / 16.0 GB

Memory breakdown

Weights4.3 GB

KV Cache0.9 GB

Runtime0.9 GB

Headroom1.6 GB

See how fast it feels

See how fast it feelsQwen 2.5 Coder 7B on RX 6950 XT 16GB
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: 84.9 tok/s decode · 2.3s TTFT (warm) · 212 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	84.9 tok/s	1243 ms	131K
Coding	A	Runs well	78.2 tok/s	2474 ms	131K
Agentic Coding	A	Runs well	78.2 tok/s	3599 ms	131K
Reasoning	A	Runs well	84.9 tok/s	2694 ms	131K
RAG	A	Runs well	84.9 tok/s	4144 ms	131K

Quantization options

How Qwen 2.5 Coder 7B (7B params) fits at each quantization level on RX 6950 XT 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	B67
Q3_K_S	3	3.4 GB	Low	B67
NVFP4	4

Get started

Copy-paste commands to run Qwen 2.5 Coder 7B on your machine.

Run

ollama run qwen2.5-coder:7b

Your hardware

More models your RX 6950 XT 16GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.5 9B	9B	S	65.4 tok/s
Qwen 3 14B	14B	S	42.2 tok/s

Frequently asked questions

Can RX 6950 XT 16GB run Qwen 2.5 Coder 7B?

Yes, RX 6950 XT 16GB can run Qwen 2.5 Coder 7B with a A grade (Runs well). Expected decode speed: 78.2 tok/s.

How much VRAM does Qwen 2.5 Coder 7B need?

Qwen 2.5 Coder 7B (7B parameters) requires approximately 7.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 7B?

The recommended quantization for Qwen 2.5 Coder 7B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 Coder 7B run at on RX 6950 XT 16GB?

On RX 6950 XT 16GB, Qwen 2.5 Coder 7B achieves approximately 78.2 tokens per second decode speed with a time-to-first-token of 2474ms using Q4_K_M quantization.

Can RX 6950 XT 16GB run Qwen 2.5 Coder 7B for coding?

For coding workloads, Qwen 2.5 Coder 7B on RX 6950 XT 16GB receives a A grade with 78.2 tok/s and 131K context.

What context window can Qwen 2.5 Coder 7B use on RX 6950 XT 16GB?

On RX 6950 XT 16GB, Qwen 2.5 Coder 7B 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 RX 6950 XT 16GB See all hardware for Qwen 2.5 Coder 7B

Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/qwen-2.5-coder-7b-on-rx-6950-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: