What are the hardware requirements for Turkcell LLM 7B V1?

Turkcell LLM 7B V1 requires approximately 14.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Turkcell LLM 7B V1 and how large is it?

Turkcell LLM 7B V1 is developed by TURKCELL, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Turkcell LLM 7B V1?

Turkcell LLM 7B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Turkcell LLM 7B V1 by TURKCELL — VRAM 14.8GB, 32K context

Name: Turkcell LLM 7B V1
Author: TURKCELL

Turkcell LLM 7B V1 is an open-source language model by TURKCELL. Features: 7b LLM, VRAM: 14.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13.

Conversational Deploy:azure Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Tr

Model Card on HF 🤗: https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1

Turkcell LLM 7B V1 Parameters and Internals

Model Type

large language model

Supported Languages

tr ()

Training Details

Data Sources:

cleaned Turkish raw dataset, custom Turkish instruction sets

Data Volume:

5 billion tokens

Methodology:

Initially with DORA, followed by fine-tuning with LORA

LLM Name	Turkcell LLM 7B V1
Repository 🤗	https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-07-30
Maintainer	TURKCELL
Model Type	mistral
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 4.9 GB: 3-of-3
Supported Languages	tr
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	48353
Torch Data Type	float16

Rank the Turkcell LLM 7B V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
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Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than TURKCELL/Turkcell-LLM-7b-v1.