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ORLM LLaMA 3 8B by CardinalOperations

 »  All LLMs  »  CardinalOperations  »  ORLM LLaMA 3 8B   URL Share it on

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  Arxiv:2405.17743   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CardinalOperations/ORLM-LLaMA-3-8B 

ORLM LLaMA 3 8B Benchmarks

LLME Score: 0.18597
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ORLM LLaMA 3 8B (CardinalOperations/ORLM-LLaMA-3-8B)

ORLM LLaMA 3 8B Parameters and Internals

Model Type 
operations research, optimization modeling
Use Cases 
Areas:
operations research
Training Details 
Methodology:
Fully fine-tuned on OR-Instruct data
Input Output 
Input Format:
A template where the question is inserted into a provided structure for operations research problems.
Accepted Modalities:
text
Output Format:
Mathematical model and Python code using `coptpy` library
LLM NameORLM LLaMA 3 8B
Repository 🤗https://huggingface.co/CardinalOperations/ORLM-LLaMA-3-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-04-28
MaintainerCardinalOperations
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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

Rank the ORLM LLaMA 3 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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