LLaMA 3 8B Instruct TR DPO by Metin

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Tr

LLaMA 3 8B Instruct TR DPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 3 8B Instruct TR DPO (Metin/LLaMA-3-8B-Instruct-TR-DPO)
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LLaMA 3 8B Instruct TR DPO Parameters and Internals

Additional Notes 
The model is fine-tuned to enhance the Turkish language output quality but may still produce incorrect outputs.
Training Details 
Data Sources:
A synthetically generated preference dataset of 10K samples
Training Time:
3 hours on a single RTX 6000 Ada
LLM NameLLaMA 3 8B Instruct TR DPO
Repository ๐Ÿค—https://huggingface.co/Metin/LLaMA-3-8B-Instruct-TR-DPO 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerMetin
Model Typellama
Instruction-BasedYes
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 Languagestr
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Metin/LLaMA-3-8B-Instruct-TR-DPO.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124