Pangea 7B by neulab

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Pangea 7B is an open-source language model by neulab. Features: 7b LLM, VRAM: 15.9GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2410.16153   Am   Ar Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-7b-instr...   Bg   Bn   Cs   Dataset:neulab/pangeainstruct   De   El   En   Es   Fa   Fr   Ga   Hi   Id   Ig   Instruct   It   Iw   Ja   Jv   Ko   Mn   Ms   Nl   No   Pl   Pt   Qwen2   Region:us   Ro   Ru   Safetensors   Sharded   Si   Su   Sw   Ta   Te   Tensorflow   Th   Tr   Uk   Ur   Vi   Zh

Pangea 7B Benchmarks

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

Pangea 7B Parameters and Internals

LLM NamePangea 7B
Repository 🤗https://huggingface.co/neulab/Pangea-7B 
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM15.9 GB
Updated2026-07-11
Maintainerneulab
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesam ar bg bn cs de el en es fa fr ga hi id ig it iw ja jv ko nl mn ms pl pt ro ru si su sw ta te th tr uk ur vi zh
Model ArchitectureLlavaQwenForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Rank the Pangea 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 v20260328a