Can Qwen 2.5 Coder 7B run on GTX 1080 Ti 11GB?

YES — Runs Great

A75Great

Estimated from fit model

Qwen 2.5 Coder 7B needs ~7.4 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~73 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: 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) — 7.4 GB, 72.6 tok/s, Runs well

7.4 GB required11.0 GB available

67% VRAM used

Fit status

Runs well

Decode

72.6 tok/s

TTFT

2666 ms

Safe context

83K

Memory

7.4 GB / 11.0 GB

Memory breakdown

Weights4.3 GB

KV Cache0.9 GB

Runtime1.2 GB

Headroom1.1 GB

See how fast it feels

See how fast it feelsQwen 2.5 Coder 7B on GTX 1080 Ti 11GB
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: 72.6 tok/s decode · 2.7s TTFT (warm) · 182 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	72.6 tok/s	1454 ms	83K
Coding	A	Runs well	72.6 tok/s	2666 ms	83K
Agentic Coding	A	Runs well	72.6 tok/s	3878 ms	83K
Reasoning	A	Runs well	72.6 tok/s	3151 ms	83K
RAG	A	Runs well	72.6 tok/s	4848 ms	83K

Quantization options

How Qwen 2.5 Coder 7B (7B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	B70
Q3_K_S	3	3.4 GB	Low	A71
NVFP4	4	3.9 GB	Medium	A71
Q4_K_M	4	4.3 GB	Medium	A72
Q5_K_M	5	5.0 GB	High	A73
Q6_K	6	5.7 GB	High	A72
Q8_0Best for your GPU	8	7.5 GB	Very High	A72
F16	16	14.3 GB	Maximum	F0

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 GTX 1080 Ti 11GB can run

Model	Params	Grade	Decode
Qwen 3.5 9B	9B	S	55.9 tok/s
Qwen 3 8B	8B	S	62.9 tok/s
Nemotron Nano 8B	8B	S	62.9 tok/s
InternVL2 8B	8B	A	62.9 tok/s
Ministral 3 8B	8B	A	62.9 tok/s

Frequently asked questions

Can GTX 1080 Ti 11GB run Qwen 2.5 Coder 7B?

Yes, GTX 1080 Ti 11GB can run Qwen 2.5 Coder 7B with a A grade (Runs well). Expected decode speed: 72.6 tok/s.

How much VRAM does Qwen 2.5 Coder 7B need?

Qwen 2.5 Coder 7B (7B parameters) requires approximately 7.4 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 GTX 1080 Ti 11GB?

On GTX 1080 Ti 11GB, Qwen 2.5 Coder 7B achieves approximately 72.6 tokens per second decode speed with a time-to-first-token of 2666ms using Q4_K_M quantization.

Can GTX 1080 Ti 11GB run Qwen 2.5 Coder 7B for coding?

For coding workloads, Qwen 2.5 Coder 7B on GTX 1080 Ti 11GB receives a A grade with 72.6 tok/s and 83K context.

What context window can Qwen 2.5 Coder 7B use on GTX 1080 Ti 11GB?

On GTX 1080 Ti 11GB, Qwen 2.5 Coder 7B can safely use up to 83K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for GTX 1080 Ti 11GB See all hardware for Qwen 2.5 Coder 7B

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