Can SQLCoder 7B run on GTX 1080 Ti 11GB?

YES — Runs Great

S86Excellent

Estimated from fit model

SQLCoder 7B needs ~8.5 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~72 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) — 8.5 GB, 71.9 tok/s, Runs well

8.5 GB required11.0 GB available

77% VRAM used

Fit status

Runs well

Decode

71.9 tok/s

TTFT

2693 ms

Safe context

Memory

8.5 GB / 11.0 GB

Memory breakdown

Weights4.3 GB

KV Cache2.0 GB

Runtime1.2 GB

Headroom1.1 GB

See how fast it feels

See how fast it feelsSQLCoder 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: 71.9 tok/s decode · 2.7s TTFT (warm) · 180 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	S	Runs well	71.9 tok/s	1469 ms	8K
Coding	S	Runs well	71.9 tok/s	2693 ms	8K
Agentic Coding	A	Runs with offload	71.9 tok/s	3917 ms	8K
Reasoning	S	Runs well	71.9 tok/s	3183 ms	8K
RAG	A	Runs with offload	71.9 tok/s	4896 ms	8K

Quantization options

How SQLCoder 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	A79
Q3_K_S	3	3.4 GB	Low	A80
NVFP4	4	3.9 GB	Medium	A81
Q4_K_M	4	4.3 GB	Medium	A82
Q5_K_M	5	5.0 GB	High	A82
Q6_K	6	5.7 GB	High	A82
Q8_0Best for your GPU	8	7.5 GB	Very High	A81
F16	16	14.3 GB	Maximum	F0

Get started

Copy-paste commands to run SQLCoder 7B on your machine.

Run

ollama run sqlcoder

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 SQLCoder 7B?

Yes, GTX 1080 Ti 11GB can run SQLCoder 7B with a S grade (Runs well). Expected decode speed: 71.9 tok/s.

How much VRAM does SQLCoder 7B need?

SQLCoder 7B (7B parameters) requires approximately 8.5 GB of memory with Q4_K_M quantization.

What is the best quantization for SQLCoder 7B?

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

What speed will SQLCoder 7B run at on GTX 1080 Ti 11GB?

On GTX 1080 Ti 11GB, SQLCoder 7B achieves approximately 71.9 tokens per second decode speed with a time-to-first-token of 2693ms using Q4_K_M quantization.

Can GTX 1080 Ti 11GB run SQLCoder 7B for coding?

For coding workloads, SQLCoder 7B on GTX 1080 Ti 11GB receives a S grade with 71.9 tok/s and 8K context.

What context window can SQLCoder 7B use on GTX 1080 Ti 11GB?

On GTX 1080 Ti 11GB, SQLCoder 7B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

See all results for GTX 1080 Ti 11GB See all hardware for SQLCoder 7B

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<iframe src="https://willitrunai.com/embed/sqlcoder-7b-on-gtx-1080-ti-11gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

71.9 tok/s

1469 ms

Coding

Runs well

71.9 tok/s

2693 ms

Agentic Coding

Runs with offload

71.9 tok/s

3917 ms

Reasoning

Runs well

71.9 tok/s

3183 ms

RAG

Runs with offload

71.9 tok/s

4896 ms

Quant

Bits

VRAM

Quality

Fit

Q2_K

2.7 GB

Low

A79

Q3_K_S

3.4 GB

Low

A80

NVFP4

3.9 GB

Medium

A81

Q4_K_M

4.3 GB

Medium

A82

Q5_K_M

5.0 GB

High

A82

Q6_K

5.7 GB

High

A82

Q8_0Best for your GPU

7.5 GB

Very High

A81

F16

14.3 GB

Maximum

Model

Params

Grade

Decode

Capabilities

55.9 tok/s

62.9 tok/s

62.9 tok/s

62.9 tok/s

62.9 tok/s

Frequently asked questions

Can GTX 1080 Ti 11GB run SQLCoder 7B?

Yes, GTX 1080 Ti 11GB can run SQLCoder 7B with a S grade (Runs well). Expected decode speed: 71.9 tok/s.

How much VRAM does SQLCoder 7B need?

SQLCoder 7B (7B parameters) requires approximately 8.5 GB of memory with Q4_K_M quantization.

What is the best quantization for SQLCoder 7B?

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

What speed will SQLCoder 7B run at on GTX 1080 Ti 11GB?

On GTX 1080 Ti 11GB, SQLCoder 7B achieves approximately 71.9 tokens per second decode speed with a time-to-first-token of 2693ms using Q4_K_M quantization.

Can GTX 1080 Ti 11GB run SQLCoder 7B for coding?

For coding workloads, SQLCoder 7B on GTX 1080 Ti 11GB receives a S grade with 71.9 tok/s and 8K context.

What context window can SQLCoder 7B use on GTX 1080 Ti 11GB?

On GTX 1080 Ti 11GB, SQLCoder 7B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.