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Aguila 7B by projecte-aina

 »  All LLMs  »  projecte-aina  »  Aguila 7B   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/projecte-aina/aguila-7b 

Aguila 7B Benchmarks

LLME Score: 0.09908
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aguila 7B (projecte-aina/aguila-7b)
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Aguila 7B Parameters and Internals

Model Type 
causal language model, text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
causal language modeling, text-generation tasks
Limitations:
Limited to training data biases; No bias and toxicity estimates currently available.
Considerations:
Model is trained on data that may contain biases and should be used with caution.
Additional Notes 
Small amount of English data was retained to prevent catastrophic forgetting.
Supported Languages 
en (High), es (High), ca (High)
Training Details 
Data Sources:
Wikipedia, C4_es, Biomedical, Legal, Gutenberg, C4_ca, RacoCatalà Noticias, RacoCatalà Forums, CaWaC, Vilaweb
Data Volume:
26B tokens
Methodology:
Adapted by swapping the tokenizer and adjusting the embedding layer.
Training Time:
320 hours
Hardware Used:
8 NVIDIA H100 GPUs with 80GB RAM
Model Architecture:
Byte-Pair Encoding (BPE) tokenizer with 50,257 tokens.
Responsible Ai Considerations 
Fairness:
No measures have been taken to estimate bias and toxicity at the time of submission.
Transparency:
Model is provided with documentation of its creation and intended use.
Accountability:
Accountability lies with the users deploying the model.
Mitigation Strategies:
The model users should aim to mitigate risks associated with bias and toxicity.
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Text generation
Release Notes 
LLM NameAguila 7B
Repository 🤗https://huggingface.co/projecte-aina/aguila-7b 
Model Size7b
Required VRAM13.7 GB
Updated2025-09-23
Maintainerprojecte-aina
Model TypeRefinedWebModel
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.9 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.2 GB: 8-of-8   0.0 GB
Supported Languagesen es ca
Model ArchitectureRWForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Is Biased0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat16
Errorsreplace

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Testing6000v20K / 15.1 GB50
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Note: green Score (e.g. "73.2") means that the model is better than projecte-aina/aguila-7b.

Rank the Aguila 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 v20241124
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