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OccuLLaMA 7B by OFA-Sys

 »  All LLMs  »  OFA-Sys  »  OccuLLaMA 7B   URL Share it on

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  Arxiv:2310.16517   Autotrain compatible   Dataset:ofa-sys/occuquest   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/OFA-Sys/OccuLLaMA-7B 

OccuLLaMA 7B Benchmarks

LLME Score: 0.11348
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OccuLLaMA 7B (OFA-Sys/OccuLLaMA-7B)
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OccuLLaMA 7B Parameters and Internals

Model Type 
instruction-tuning, occupational bias mitigation
Use Cases 
Areas:
research, professional consulting
Applications:
occupational guidance, professional query answering
Primary Use Cases:
addressing professional questions in various occupations
Limitations:
may not be suitable for non-English queries
Additional Notes 
The model is designed to be more inclusive in providing responses to professional queries from a wide range of occupations.
Supported Languages 
English (advanced)
Training Details 
Data Sources:
OccuQuest
Data Volume:
110,000+ prompt-completion pairs, 30,000+ dialogues
Methodology:
Fine-tuning LLaMA on OccuQuest dataset
Model Architecture:
LLaMA architecture
Input Output 
Input Format:
prompt-completion
Accepted Modalities:
text
Output Format:
completion
Release Notes 
Version:
7B
Date:
2023
Notes:
Initial release with OccuQuest tuning
LLM NameOccuLLaMA 7B
Repository 🤗https://huggingface.co/OFA-Sys/OccuLLaMA-7B 
Model Size7b
Required VRAM27 GB
Updated2025-09-23
MaintainerOFA-Sys
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than OFA-Sys/OccuLLaMA-7B.

Rank the OccuLLaMA 7B 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 v20241124
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