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Sft Fpft Multilingual Bloom 7b1 by HPLT

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  5   
  Arxiv:2309.08958   Autotrain compatible   Bg   Bloom   Cs   De   Endpoints compatible   Es   Fi   Fr   Generation   Instruct   Pytorch   Question answering   Region:us   Ru   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/HPLT/sft-fpft-multilingual-bloom-7b1 

Sft Fpft Multilingual Bloom 7b1 Benchmarks

LLME Score: 0.1791
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sft Fpft Multilingual Bloom 7b1 (HPLT/sft-fpft-multilingual-bloom-7b1)

Sft Fpft Multilingual Bloom 7b1 Parameters and Internals

Model Type 
generation, question answering, instruction tuning
Supported Languages 
bg (Bulgarian), cs (Czech), zh (Chinese), de (German), fi (Finnish), fr (French), ru (Russian), es (Spanish)
Training Details 
Data Sources:
yahma/alpaca-cleaned
Methodology:
Instruction tuning details are based on full-parameter fine-tuning.
LLM NameSft Fpft Multilingual Bloom 7b1
Repository 🤗https://huggingface.co/HPLT/sft-fpft-multilingual-bloom-7b1 
Required VRAM28.2 GB
Updated2025-02-05
MaintainerHPLT
Model Typebloom
Model Files  9.9 GB: 1-of-3   9.7 GB: 2-of-3   8.6 GB: 3-of-3
Supported Languagesbg cs zh de fi fr ru es
Model ArchitectureBloomForCausalLM
Licensecc-by-nc-4.0
Model Max Length512
Transformers Version4.31.0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250680
Torch Data Typefloat32

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Rank the Sft Fpft Multilingual Bloom 7b1 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 v20241227
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