What are the hardware requirements for Turkish Llama 8B V0.1?

Turkish Llama 8B V0.1 requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Turkish Llama 8B V0.1 and how large is it?

Turkish Llama 8B V0.1 is developed by ytu-ce-cosmos, 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 Turkish Llama 8B V0.1?

Turkish Llama 8B V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Turkish Llama 8B V0.1 by ytu-ce-cosmos — VRAM 16.1GB, 8K context

Name: Turkish Llama 8B V0.1
Author: ytu-ce-cosmos

Turkish Llama 8B V0.1 is an open-source language model by ytu-ce-cosmos. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Deploy:azure Endpoints compatible Llama Llama3 Region:us Safetensors Sharded Tensorflow Tr Turkish

Model Card on HF 🤗: https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-v0.1

Turkish Llama 8B V0.1 Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Primary Use Cases:

text generation

Limitations:

Model can exhibit biases.

Considerations:

Users should be aware of possible biases and use the model responsibly.

Additional Notes

This model is fine-tuned on a 30GB Turkish dataset to enhance text generation in Turkish.

Supported Languages

tr (high)

Training Details

Data Sources:

websites, books, other text sources

Data Volume:

30GB

Methodology:

fine-tuning

Model Architecture:

LLaMA-3

Responsible Ai Considerations

Mitigation Strategies:

Users should be aware of possible biases due to diverse training data.

Input Output

Performance Tips:

Use parameters like temperature, repetition_penalty, top_p, max_length for optimal performance.

LLM Name	Turkish Llama 8B V0.1
Repository 🤗	https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-v0.1
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-03
Maintainer	ytu-ce-cosmos
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	tr
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Turkish Llama 8B V0.1 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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Note: green Score (e.g. "73.2") means that the model is better than ytu-ce-cosmos/Turkish-Llama-8b-v0.1.