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TwinLlama 3.1 8B DPO by mlabonne

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  Autotrain compatible Base model:finetune:mlabonne/t... Base model:mlabonne/twinllama-...   Dpo   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/mlabonne/TwinLlama-3.1-8B-DPO 

TwinLlama 3.1 8B DPO Benchmarks

LLME Score: 0.23144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TwinLlama 3.1 8B DPO (mlabonne/TwinLlama-3.1-8B-DPO)

TwinLlama 3.1 8B DPO Parameters and Internals

Model Type 
text-generation-inference, transformers, llama
Additional Notes 
This llama model was trained 2x faster with Unsloth.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Unsloth and Huggingface's TRL library
LLM NameTwinLlama 3.1 8B DPO
Repository 🤗https://huggingface.co/mlabonne/TwinLlama-3.1-8B-DPO 
Base Model(s)  mlabonne/TwinLlama-3.1-8B   mlabonne/TwinLlama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-01-15
Maintainermlabonne
Model Typellama
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 Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/TwinLlama-3.1-8B-DPO.

Rank the TwinLlama 3.1 8B DPO Capabilities

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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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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