Can Granite 4.1 3B run on RTX 5070 Ti 16GB?

YES — Runs Great

B65Good

Estimated from fit model

Granite 4.1 3B needs ~5.6 GB VRAM. RTX 5070 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~57 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) — 5.6 GB, 57.0 tok/s, Runs well

5.6 GB required16.0 GB available

35% VRAM used

Fit status

Runs well

Decode

57.0 tok/s

TTFT

3396 ms

Safe context

131K

Memory

5.6 GB / 16.0 GB

Memory breakdown

Weights1.8 GB

KV Cache1.2 GB

Runtime0.9 GB

Headroom1.6 GB

See how fast it feels

See how fast it feelsGranite 4.1 3B on RTX 5070 Ti 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: 57.0 tok/s decode · 3.4s TTFT (warm) · 143 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	B	Runs well	57.0 tok/s	1853 ms	131K
Coding	B	Runs well	57.0 tok/s	3396 ms	131K
Agentic Coding	B	Runs well	57.0 tok/s	4940 ms	131K
Reasoning	B	Runs well	57.0 tok/s	4014 ms	131K
RAG	B	Runs well	57.0 tok/s	6175 ms	131K

Quantization options

How Granite 4.1 3B (3B params) fits at each quantization level on RTX 5070 Ti 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	B63
Q3_K_S	3	1.5 GB	Low	B63
NVFP4	4	1.7 GB	Medium	B63
Q4_K_M	4	1.8 GB	Medium	B63
Q5_K_M	5	2.2 GB	High	B63
Q6_K	6	2.5 GB	High	B64
Q8_0	8	3.2 GB	Very High	B64
F16Best for your GPU	16	6.1 GB	Maximum	B67

Get started

Copy-paste commands to run Granite 4.1 3B on your machine.

Run

ollama run granite4.1:3b

Frequently asked questions

Can RTX 5070 Ti 16GB run Granite 4.1 3B?

Yes, RTX 5070 Ti 16GB can run Granite 4.1 3B with a B grade (Runs well). Expected decode speed: 57.0 tok/s.

How much VRAM does Granite 4.1 3B need?

Granite 4.1 3B (3B parameters) requires approximately 5.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite 4.1 3B?

The recommended quantization for Granite 4.1 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite 4.1 3B run at on RTX 5070 Ti 16GB?

On RTX 5070 Ti 16GB, Granite 4.1 3B achieves approximately 57.0 tokens per second decode speed with a time-to-first-token of 3396ms using Q4_K_M quantization.

Can RTX 5070 Ti 16GB run Granite 4.1 3B for coding?

For coding workloads, Granite 4.1 3B on RTX 5070 Ti 16GB receives a B grade with 57.0 tok/s and 131K context.

What context window can Granite 4.1 3B use on RTX 5070 Ti 16GB?

On RTX 5070 Ti 16GB, Granite 4.1 3B 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 RTX 5070 Ti 16GB See all hardware for Granite 4.1 3B

Embed this result▼

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

<iframe src="https://willitrunai.com/embed/granite-4.1-3b-on-rtx-5070-ti-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: