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Canarim 7B Vestibulaide by dominguesm

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Canarim 7B Vestibulaide is an open-source language model by dominguesm. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.1.

  Arxiv:2307.09288   Conversational   Doi:10.57967/hf/1357   Llama   Llama 2   Portuguese   Pt   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dominguesm/canarim-7b-vestibulaide 

Canarim 7B Vestibulaide Benchmarks

LLME Score: 0.10159
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Canarim 7B Vestibulaide (dominguesm/canarim-7b-vestibulaide)
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Canarim 7B Vestibulaide Parameters and Internals

Model Type 
decoder-only, text-generation
Use Cases 
Areas:
education, student assistance
Applications:
university entrance exam preparation
Primary Use Cases:
solution generation, review and study
Limitations:
correct option suggestion may not always be accurate
Additional Notes 
Model aids in understanding and solving Brazilian university entrance exams. Not fully proficient at correct choice suggestion in multiple-choice questions.
Supported Languages 
Portuguese (proficient)
Training Details 
Data Sources:
Brazilian university entrance exams, public competitions
Input Output 
Accepted Modalities:
text
LLM NameCanarim 7B Vestibulaide
Repository 🤗https://huggingface.co/dominguesm/canarim-7b-vestibulaide 
Model Size7b
Required VRAM13.5 GB
Updated2026-05-02
Maintainerdominguesm
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagespt
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than dominguesm/canarim-7b-vestibulaide.

Rank the Canarim 7B Vestibulaide Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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