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RUNLOCALAI · v38
YTU Turkish Gemma 9B v0.1 / on / NVIDIA GeForce RTX 3080 16GB (Mobile)
Fits comfortably

Running YTU Turkish Gemma 9B v0.1 on NVIDIA GeForce RTX 3080 16GB (Mobile)

NVIDIA GeForce RTX 3080 16GB (Mobile) runs YTU Turkish Gemma 9B v0.1 comfortably at Q4_K_M with 8 GB of headroom for context.

By Fredoline Eruo·Latest benchmark evidence Jun 2, 2026

Model size

9.2B params
YTU Turkish Gemma 9B v0.1 →

Memory available

16 GB
NVIDIA GeForce RTX 3080 16GB (Mobile) →

Recommended quant

Q4_K_M
Highest quality that fits

Quick start with Ollama

1. Install
ollama pull alibayram/turkish-gemma-9b-v0.1:latest
2. Run
ollama run alibayram/turkish-gemma-9b-v0.1:latest

Default quant in Ollama is Q4_K_M. To use a different quant, append it: alibayram/turkish-gemma-9b-v0.1:latest-q5_K_M.

Variants and what fits

QuantizationFile sizeVRAM requiredFits on NVIDIA GeForce RTX 3080 16GB (Mobile)?
Q4_K_M5.8 GB8 GB
Yes

Real benchmarks

ToolQuantContexttok/sVRAM usedDateEvidenceExport
—Q4_K_M4,09666.0 tok/s—Jun 2, 2026Measured here
operator: fred-oline
DetailSourceJSON

Frequently asked

Can NVIDIA GeForce RTX 3080 16GB (Mobile) run YTU Turkish Gemma 9B v0.1?

NVIDIA GeForce RTX 3080 16GB (Mobile) runs YTU Turkish Gemma 9B v0.1 comfortably at Q4_K_M with 8 GB of headroom for context.

What quantization should I use?

Q4_K_M is the highest-quality variant of YTU Turkish Gemma 9B v0.1 that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.

How fast will it be?

Measured at 66.0 tok/s on this combination in our testing.

See also: YTU Turkish Gemma 9B v0.1, NVIDIA GeForce RTX 3080 16GB (Mobile), all benchmarks.

Reviewed by RunLocalAI Editorial. See our editorial policy.