Fits comfortably
Running Turkcell LLM 7B v1 on NVIDIA GeForce RTX 3080 16GB (Mobile)
NVIDIA GeForce RTX 3080 16GB (Mobile) runs Turkcell LLM 7B v1 comfortably at Q4_K_M with 10 GB of headroom for context.
Model size
7.4B params
Turkcell LLM 7B v1 →Memory available
Recommended quant
Q4_K_M
Highest quality that fits
Quick start with Ollama
1. Install
ollama pull RefinedNeuro/Turkcell-LLM-7b-v1:latest2. Run
ollama run RefinedNeuro/Turkcell-LLM-7b-v1:latestDefault 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
| Quantization | File size | VRAM required | Fits on NVIDIA GeForce RTX 3080 16GB (Mobile)? |
|---|---|---|---|
| Q4_K_M | 4.5 GB | 6 GB | Yes |
Real benchmarks
Frequently asked
Can NVIDIA GeForce RTX 3080 16GB (Mobile) run Turkcell LLM 7B v1?
NVIDIA GeForce RTX 3080 16GB (Mobile) 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 85.8 tok/s on this combination in our testing.
See also: Turkcell LLM 7B v1, NVIDIA GeForce RTX 3080 16GB (Mobile), all benchmarks.
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