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Alpaca Instruction Fine Tune French by tbboukhari

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  Alpaca Dataset:tbboukhari/alpaca fren...   Endpoints compatible   Fr   Instruct   Instruct alpaca   Lora   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/tbboukhari/Alpaca_instruction_fine_tune_French 

Alpaca Instruction Fine Tune French Benchmarks

LLME Score: 0.07212
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpaca Instruction Fine Tune French (tbboukhari/Alpaca_instruction_fine_tune_French)
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Alpaca Instruction Fine Tune French Parameters and Internals

Model Type 
text generation, instruction fine-tuning
Additional Notes 
This model includes LoRA for PEFT (Parameter Efficient Fine-Tuning).
Supported Languages 
French (Full Support)
Training Details 
Data Sources:
tbboukhari/Alpaca_french_instruct
Methodology:
Instruction fine-tuning using Lora in NLP
Model Architecture:
Llama
Input Output 
Input Format:
French text
Accepted Modalities:
text
Output Format:
French text
Performance Tips:
Optimize inference by adjusting temperature, top_p, and num_beams.
LLM NameAlpaca Instruction Fine Tune French
Repository 🤗https://huggingface.co/tbboukhari/Alpaca_instruction_fine_tune_French 
Required VRAM0 GB
Updated2025-09-27
Maintainertbboukhari
Instruction-BasedYes
Model Files  0.0 GB
Supported Languagesfr
Model ArchitectureAutoModel
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than tbboukhari/Alpaca_instruction_fine_tune_French.

Rank the Alpaca Instruction Fine Tune French 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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