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Llama 3 Orpo V1 Merged 16bit by BarraHome

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Llama 3 Orpo V1 Merged 16bit is an open-source language model by BarraHome. Features: 8b LLM, VRAM: 16.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Merged, HF Score: 30.4, LLM Explorer Score: 0.18, Arc: 23.3, HellaSwag: 41.1, MMLU: 24.6, TruthfulQA: 40.9, WinoGrande: 52.7.

  Merged Model   32k   4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/BarraHome/llama-3-orpo-v1-merged_16bit 

Llama 3 Orpo V1 Merged 16bit Benchmarks

ARC: 23.29 vs 96.7 (so35)-75.9%
HellaSwag: 41.14 vs 95.3 (gpt4)-56.8%
MMLU: 24.59 vs 88.3 (so35)-72.2%
TruthfulQA: 40.92 vs 59 (gpt4)-30.6%
WinoGrande: 52.72 vs 87.5 (gpt4)-39.7%
LLME Score: 0.17652
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Orpo V1 Merged 16bit (BarraHome/llama-3-orpo-v1-merged_16bit)
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Llama 3 Orpo V1 Merged 16bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama 3 Orpo V1 Merged 16bit
Repository 🤗https://huggingface.co/BarraHome/llama-3-orpo-v1-merged_16bit 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-04-25
MaintainerBarraHome
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 Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3 Orpo V1 Merged 16bit 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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