mistral
7.4B parameters
Commercial OK
Reviewed May 2026

Turkcell LLM 7B v1

Turkcell LLM 7B v1 is an Apache-2.0 Turkish text-generation model built on a Mistral architecture. The measured Ollama artifact uses a RefinedNeuro GGUF distribution of the public Turkcell model.

License: Apache-2.0·Context: 32,768 tokens

Overview

Turkcell LLM 7B v1 is an Apache-2.0 Turkish text-generation model built on a Mistral architecture. The measured Ollama artifact uses a RefinedNeuro GGUF distribution of the public Turkcell model.

Strengths

  • Apache-2.0 license with a recognizable Turkish enterprise source
  • 32K Mistral-family context in the public config
  • Stable low-variance local throughput in the RTX 5080 sweep

Weaknesses

  • Older 7B-class model compared with newer Turkish fine-tunes
  • Ollama build is a community distribution rather than the vendor's own tag
  • Quality still needs a fresh Turkish MMLU-style rerun

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M4.5 GB6 GB

Get the model

Ollama

One-line install

ollama run RefinedNeuro/Turkcell-LLM-7b-v1:latestRead our Ollama review →

HuggingFace

Original weights

huggingface.co/TURKCELL/Turkcell-LLM-7b-v1

Source repository — direct quantization required.

Benchmarks

Real measurements on real hardware. Numbers ship with the runner version, quant, and date.

2 runs on record
HardwareProvenanceQuantCtxTokens / secVRAMTTFTDate
NVIDIA GeForce RTX 5080
EditorialM
Q4_K_M2K
145.1tok/s
——May 28, 26
NVIDIA GeForce RTX 3080 16GB (Mobile)
EditorialM
Q4_K_M4K
85.8tok/s
—96 msJun 2, 26

What to do next

Got this model running on real hardware? Share what you measured — the form arrives with the model pre-selected.

Submit a benchmark for Turkcell LLM 7B v1
OrBrowse the benchmark roadmapCompare hardware options

Hardware that runs this

Cards with enough VRAM for at least one quantization of Turkcell LLM 7B v1.

NVIDIA GB200 NVL72
13824GB · nvidia
AMD Instinct MI355X
288GB · amd
AMD Instinct MI325X
256GB · amd
AMD Instinct MI300X
192GB · amd
NVIDIA B200
192GB · nvidia
NVIDIA H100 NVL
188GB · nvidia
NVIDIA H200
141GB · nvidia
NVIDIA H200 NVL (PCIe)
141GB · nvidia
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Frequently asked

What's the minimum VRAM to run Turkcell LLM 7B v1?

6GB of VRAM is enough to run Turkcell LLM 7B v1 at the Q4_K_M quantization (file size 4.5 GB). Higher-quality quantizations need more.

Can I use Turkcell LLM 7B v1 commercially?

Yes — Turkcell LLM 7B v1 ships under the Apache-2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of Turkcell LLM 7B v1?

Turkcell LLM 7B v1 supports a context window of 32,768 tokens (about 33K).

How do I install Turkcell LLM 7B v1 with Ollama?

Run `ollama pull RefinedNeuro/Turkcell-LLM-7b-v1:latest` to download, then `ollama run RefinedNeuro/Turkcell-LLM-7b-v1:latest` to start a chat session. The default quantization is Q4_K_M.

Source: huggingface.co/TURKCELL/Turkcell-LLM-7b-v1

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify Turkcell LLM 7B v1 runs on your specific hardware before committing money.

Will it run on my hardware? →Custom hardware comparison →GPU recommender (4 questions) →