Can Qwen 2.5 Coder 3B run on GTX 1660 Super 6GB?

Q: What should I upgrade first if Qwen 2.5 Coder 3B feels slow on GTX 1660 Super 6GB?

Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

YES — With Offload

A77Great

Estimated from fit model

Qwen 2.5 Coder 3B needs ~5.8 GB VRAM. GTX 1660 Super 6GB has 6.0 GB. With Q4_K_M quantization, expect ~42 tok/s.

Runtime: OllamaCapacity: OffloadBandwidth: LowStack: 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) — 5.8 GB, 42.0 tok/s, Runs with offload

5.8 GB required6.0 GB available

97% VRAM used

Fit status

Runs with offload

Decode

42.0 tok/s

TTFT

4610 ms

Safe context

17K

Memory

5.8 GB / 6.0 GB

Memory breakdown

Weights1.8 GB

KV Cache2.2 GB

Runtime1.2 GB

Headroom0.6 GB

See how fast it feels

See how fast it feelsQwen 2.5 Coder 3B on GTX 1660 Super 6GB
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: 42.0 tok/s decode · 4.6s TTFT (warm) · 105 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Very little memory headroom

You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.

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

Buy headroom, not only minimum fit

A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	42.0 tok/s	2514 ms	17K
Coding	A	Runs with offload	42.0 tok/s	4610 ms	17K
Agentic Coding	F	Too heavy	40.8 tok/s	6895 ms	17K
Reasoning	A	Runs with offload	42.0 tok/s	5448 ms	17K
RAG	F	Too heavy	40.8 tok/s	8618 ms	17K

Quantization options

How Qwen 2.5 Coder 3B (3B params) fits at each quantization level on GTX 1660 Super 6GB (6.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	A79
Q3_K_S	3	1.5 GB	Low	A80
NVFP4	4

Get started

Copy-paste commands to run Qwen 2.5 Coder 3B on your machine.

Run

ollama run qwen2.5-coder:3b

Your hardware

More models your GTX 1660 Super 6GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.5 4B	4B	A	50.9 tok/s
Phi-4 Mini Reasoning 4B	3.8B	S	53.2 tok/s

Frequently asked questions

Can GTX 1660 Super 6GB run Qwen 2.5 Coder 3B?

Yes, GTX 1660 Super 6GB can run Qwen 2.5 Coder 3B with a A grade (Runs with offload). Expected decode speed: 42.0 tok/s.

How much VRAM does Qwen 2.5 Coder 3B need?

Qwen 2.5 Coder 3B (3B parameters) requires approximately 5.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 3B?

The recommended quantization for Qwen 2.5 Coder 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 Coder 3B run at on GTX 1660 Super 6GB?

On GTX 1660 Super 6GB, Qwen 2.5 Coder 3B achieves approximately 42.0 tokens per second decode speed with a time-to-first-token of 4610ms using Q4_K_M quantization.

Can GTX 1660 Super 6GB run Qwen 2.5 Coder 3B for coding?

For coding workloads, Qwen 2.5 Coder 3B on GTX 1660 Super 6GB receives a A grade with 42.0 tok/s and 17K context.

What context window can Qwen 2.5 Coder 3B use on GTX 1660 Super 6GB?

On GTX 1660 Super 6GB, Qwen 2.5 Coder 3B can safely use up to 17K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

What should I upgrade first if Qwen 2.5 Coder 3B feels slow on GTX 1660 Super 6GB?

See all results for GTX 1660 Super 6GB See all hardware for Qwen 2.5 Coder 3B

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-3b-on-gtx-1660-super-6gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: