What are the hardware requirements for Llama 3.1 8B Turkish?

Llama 3.1 8B Turkish requires approximately 16.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Turkish and how large is it?

Llama 3.1 8B Turkish is developed by erenzeytunn, a model with 8b 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 Llama 3.1 8B Turkish?

Llama 3.1 8B Turkish is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Turkish by erenzeytunn — VRAM 16.2GB, 128K context

Name: Llama 3.1 8B Turkish
Author: erenzeytunn

Llama 3.1 8B Turkish is an open-source language model by erenzeytunn. Features: 8b LLM, VRAM: 16.2GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.31.

Base model:adapter:meta-llama/... Base model:meta-llama/llama-3.... Continued-pretraining Conversational Endpoints compatible Instruct Llama Lora Region:us Safetensors Tr Turkish

Model Card on HF 🤗: https://huggingface.co/erenzeytunn/Llama-3.1-8B-Turkish

Llama 3.1 8B Turkish Parameters and Internals

LLM Name	Llama 3.1 8B Turkish
Repository 🤗	https://huggingface.co/erenzeytunn/Llama-3.1-8B-Turkish
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16.2 GB
Updated	2026-09-27
Maintainer	erenzeytunn
Model Type	llama
Instruction-Based	Yes
Model Files	16.2 GB
Supported Languages	tr
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|end_of_text\|>
Vocabulary Size	136256
LoRA Model	Yes

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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
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Multi-Language Support and Translation

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