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RUNLOCALAI · v38
YTU Turkish Gemma 9B v0.1 / on / NVIDIA GeForce RTX 5080
Fits comfortably

Running YTU Turkish Gemma 9B v0.1 on NVIDIA GeForce RTX 5080

NVIDIA GeForce RTX 5080 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 May 28, 2026

Model size

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

Memory available

16 GB
NVIDIA GeForce RTX 5080 →

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 5080?
Q4_K_M5.8 GB8 GB
Yes

Real benchmarks

ToolQuantContexttok/sVRAM usedDateEvidenceExport
—Q4_K_M2,048101.1 tok/s—May 28, 2026Measured here
operator: fred-oline
DetailSourceJSON

Frequently asked

Can NVIDIA GeForce RTX 5080 run YTU Turkish Gemma 9B v0.1?

NVIDIA GeForce RTX 5080 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 101.1 tok/s on this combination in our testing.

See also: YTU Turkish Gemma 9B v0.1, NVIDIA GeForce RTX 5080, all benchmarks.

Reviewed by RunLocalAI Editorial. See our editorial policy.