Aguila 7B 8bit by xaviviro

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Aguila 7B 8bit is an open-source language model by xaviviro. Features: 7b LLM, VRAM: 7.7GB, Context: 2K, Quantized, LLM Explorer Score: 0.11.

  8bit   Custom code   Gptq   Quantized   Refinedwebmodel   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/xaviviro/aguila-7b-8bit 

Aguila 7B 8bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aguila 7B 8bit (xaviviro/aguila-7b-8bit)
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Aguila 7B 8bit Parameters and Internals

LLM NameAguila 7B 8bit
Repository ๐Ÿค—https://huggingface.co/xaviviro/aguila-7b-8bit 
Model Size7b
Required VRAM7.7 GB
Updated2026-03-29
Maintainerxaviviro
Model TypeRefinedWebModel
Model Files  13.9 GB   7.7 GB
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureRWForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Is Biased0
Vocabulary Size50257
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than xaviviro/aguila-7b-8bit.

Rank the Aguila 7B 8bit Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a