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Vigogne Bloom 7b1 Instruct by bofenghuang

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  Alpaca   Bloom   Dataset:tatsu-lab/alpaca   Fr   Instruct   Lora   Region:us   Tensorboard
Model Card on HF 🤗: https://huggingface.co/bofenghuang/vigogne-bloom-7b1-instruct 

Vigogne Bloom 7b1 Instruct Benchmarks

LLME Score: 0.07344
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vigogne Bloom 7b1 Instruct (bofenghuang/vigogne-bloom-7b1-instruct)
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Vigogne Bloom 7b1 Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Model may generate harmful or biased content, Incorrect information, Generally unhelpful answers
Additional Notes 
The repo contains only a low-rank adapter. Complete model requires loading base LLM and tokenizer.
Supported Languages 
fr (instruction-following)
Training Details 
Data Sources:
tatsu-lab/alpaca
Methodology:
fine-tuning on French instructions
LLM NameVigogne Bloom 7b1 Instruct
Repository 🤗https://huggingface.co/bofenghuang/vigogne-bloom-7b1-instruct 
Required VRAM0.1 GB
Updated2025-11-05
Maintainerbofenghuang
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesfr
Model ArchitectureAutoModel
Licensebigscience-bloom-rail-1.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesquery_key_value|dense|dense_h_to_4h|dense_4h_to_h
LoRA Alpha32
LoRA Dropout0.05
R Param16

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MiniMaid L20K / 0 GB62
Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-bloom-7b1-instruct.

Rank the Vigogne Bloom 7b1 Instruct 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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