Fits comfortably

Running Turkcell LLM 7B v1 on NVIDIA GeForce RTX 5080

NVIDIA GeForce RTX 5080 runs Turkcell LLM 7B v1 comfortably at Q4_K_M with 10 GB of headroom for context.

By Eruo Fredoline·Latest benchmark evidence May 28, 2026

Model size

Memory available

Recommended quant

Q4_K_M
Highest quality that fits

Quick start with Ollama

1. Install
ollama pull RefinedNeuro/Turkcell-LLM-7b-v1:latest
2. Run
ollama run RefinedNeuro/Turkcell-LLM-7b-v1:latest

Default quant in Ollama is Q4_K_M. To use a different quant, append it: RefinedNeuro/Turkcell-LLM-7b-v1:latest-q5_K_M.

Variants and what fits

QuantizationFile sizeVRAM requiredFits on NVIDIA GeForce RTX 5080?
Q4_K_M4.5 GB6 GB
Yes

Real benchmarks

ToolQuantContexttok/sVRAM usedDateEvidenceExport
Q4_K_M2,048145.1 tok/sMay 28, 2026Measured here
operator: fred-oline

Frequently asked

Can NVIDIA GeForce RTX 5080 run Turkcell LLM 7B v1?

NVIDIA GeForce RTX 5080 runs Turkcell LLM 7B v1 comfortably at Q4_K_M with 10 GB of headroom for context.

What quantization should I use?

Q4_K_M is the highest-quality variant of Turkcell LLM 7B v1 that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.

How fast will it be?

Measured at 145.1 tok/s on this combination in our testing.

See also: Turkcell LLM 7B v1, NVIDIA GeForce RTX 5080, all benchmarks.

Reviewed by RunLocalAI Editorial. See our editorial policy.