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Gemma 7B It Legal Refugiados Es by somosnlp

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  Arxiv:1910.09700 Base model:finetune:google/gem...   Base model:google/gemma-7b Dataset:somosnlp/instruct-lega...   Es   Gemma   Generated from trainer   Instruct   Region:us   Safetensors   Sft   Sharded   Tensorflow   Transformers, pe   Trl

Gemma 7B It Legal Refugiados Es Benchmarks

LLME Score: 0.1882
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 7B It Legal Refugiados Es Parameters and Internals

Model Type 
language model, instruction tuned
Use Cases 
Areas:
Research, Commercial applications
Applications:
Spanish refugee legislation question answering
Limitations:
Not designed to replace professional legal advice, Misinterpretation of refugee law
Additional Notes 
The model is intended to assist NGOs and institutions in handling refugee legislation queries in Spanish.
Supported Languages 
es-ES (high), es-MX (high), es-VE (high)
Training Details 
Data Sources:
somosnlp/instruct-legal-refugiados-es
Methodology:
Fine-tuning
Hardware Used:
RTX 4090
Model Architecture:
Gemma
LLM NameGemma 7B It Legal Refugiados Es
Repository 🤗https://huggingface.co/somosnlp/gemma-7b-it-legal-refugiados-es 
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM34 GB
Updated2024-11-21
Maintainersomosnlp
Model Typegemma
Instruction-BasedYes
Model Files  4.8 GB: 1-of-8   4.7 GB: 2-of-8   4.9 GB: 3-of-8   4.7 GB: 4-of-8   4.7 GB: 5-of-8   4.9 GB: 6-of-8   4.7 GB: 7-of-8   0.6 GB: 8-of-8
Supported Languageses
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32
Gemma 7B It Legal Refugiados Es (somosnlp/gemma-7b-it-legal-refugiados-es)

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Note: green Score (e.g. "73.2") means that the model is better than somosnlp/gemma-7b-it-legal-refugiados-es.

Rank the Gemma 7B It Legal Refugiados Es Capabilities

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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 v20241110
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