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Sabia 7B by maritaca-ai

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Sabia 7B is an open-source language model by maritaca-ai. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, LLM Explorer Score: 0.14.

  Arxiv:2304.07880   Deploy:azure   Endpoints compatible   Llama   Model-index   Pt   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/maritaca-ai/sabia-7b 

Sabia 7B Benchmarks

MMLU Pro: 5.39
MUSR: 10.61
BBH: 5.04
IFEval: 28.92 vs 88 (so35)-67.1%
MATH Lvl 5: 0.38
LLME Score: 0.1411
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sabia 7B (maritaca-ai/sabia-7b)
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Sabia 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model was pretrained on the Portuguese subset of ClueWeb22. The pretraining data has a cutoff of mid-2022.
Supported Languages 
Portuguese (High)
Training Details 
Data Sources:
ClueWeb22
Data Volume:
17 billion tokens
Context Length:
2048
Model Architecture:
Based on LLaMA-1-7B
Input Output 
Input Format:
Text only
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Optimized for few-shot tasks, recommended to use fp16 or bf16 for best performance.
LLM NameSabia 7B
Repository 🤗https://huggingface.co/maritaca-ai/sabia-7b 
Model Size7b
Required VRAM13.5 GB
Updated2026-01-17
Maintainermaritaca-ai
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagespt
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Sabia 7B

Model
Likes
Downloads
VRAM
Sabia 7B GGUF62412 GB
Sabia 7B GPTQ2143 GB
Sabia 7B AWQ1113 GB

Best Alternatives to Sabia 7B

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2 Very Sci Fi1024K / 16.1 GB3170
Note: green Score (e.g. "73.2") means that the model is better than maritaca-ai/sabia-7b.

Rank the Sabia 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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