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Canarim 7B by dominguesm

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Canarim 7B is an open-source language model by dominguesm. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, HF Score: 48.6, LLM Explorer Score: 0.15, Arc: 52, HellaSwag: 77.5, MMLU: 40.9, TruthfulQA: 40, WinoGrande: 71.4, GSM8K: 9.9.

  Arxiv:2307.09288 Dataset:dominguesm/cc-main-202...   Doi:10.57967/hf/1356   Llama   Llama 2   Model-index   Portuguese   Pt   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dominguesm/canarim-7b 

Canarim 7B Benchmarks

ARC: 51.96 vs 96.7 (so35)-46.3%
HellaSwag: 77.52 vs 95.3 (gpt4)-18.7%
MMLU: 40.92 vs 88.3 (so35)-53.7%
TruthfulQA: 40.03 vs 59 (gpt4)-32.2%
WinoGrande: 71.43 vs 87.5 (gpt4)-18.4%
GSM8K: 9.93 vs 96.4 (so35)-89.7%
LLME Score: 0.15055
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Canarim 7B (dominguesm/canarim-7b)
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Canarim 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Natural Language Understanding (NLU) like sentiment analysis and topic classification, Natural Language Generation (NLG) for content creation, Language Translation for Portuguese
Limitations:
Not fine-tuned for instruction following, more suited for few-shot tasks
Considerations:
Better performance with few-shot learning, additional context helps in improving outcomes
Additional Notes 
Model designed for Portuguese text with pretraining on diverse topics.
Supported Languages 
Portuguese (High proficiency)
Training Details 
Data Sources:
CommonCrawl 2023-23
Data Volume:
16 billion tokens
Model Architecture:
Derived from LLaMA2-7B architecture
Input Output 
Performance Tips:
Include examples and context to improve performance.
LLM NameCanarim 7B
Repository 🤗https://huggingface.co/dominguesm/canarim-7b 
Model Size7b
Required VRAM13.5 GB
Updated2026-04-11
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.

Rank the Canarim 7B 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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Release v20260328a
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