Reasoning Llama 3.1 CoT RE1 NMT V2 ORPO by EpistemeAI

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Reasoning Llama 3.1 CoT RE1 NMT V2 ORPO is an open-source language model by EpistemeAI. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:epistemeai/reasonin... Base model:finetune:epistemeai...   Conversational   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Reasoning Llama 3.1 CoT RE1 NMT V2 ORPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Reasoning Llama 3.1 CoT RE1 NMT V2 ORPO Parameters and Internals

LLM NameReasoning Llama 3.1 CoT RE1 NMT V2 ORPO
Repository 🤗https://huggingface.co/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO 
Base Model(s)  EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2   EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2
Model Size8b
Required VRAM16.1 GB
Updated2026-05-14
MaintainerEpistemeAI
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   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 Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO.

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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 v20260328a