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Bloomz 7b1 P3 by bigscience

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Bloomz 7b1 P3 is an open-source language model by bigscience. Features: 7.1b LLM, VRAM: 14.1GB, License: bigscience-bloom-rail-1.0, LLM Explorer Score: 0.04.

  Arxiv:2211.01786   Ak   Ar   As   Bloom   Bm   Bn   Ca   Code   Dataset:muennighoff/p3   En   Endpoints compatible   Es   Eu   Fon   Fr   Gu   Hi   Id   Ig   Ki   Kn   Lg   Ln   Ml   Model-index   Mr   Ne   Nso   Ny   Or   Pa   Pt   Pytorch   Region:us   Rn   Rw   Safetensors   Sn   St   Sw   Ta   Te   Tn   Ts   Tum   Tw   Ur   Vi   Wo   Xh   Yo   Zh   Zu
Model Card on HF 🤗: https://huggingface.co/bigscience/bloomz-7b1-p3 

Bloomz 7b1 P3 Benchmarks

LLME Score: 0.03665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloomz 7b1 P3 (bigscience/bloomz-7b1-p3)
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Bloomz 7b1 P3 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research
Applications:
Text generation, Translation tasks
Primary Use Cases:
Multilingual Text Generation
Limitations:
Strictly inferior to other bloom models
Considerations:
Recommended for prompting in English
Additional Notes 
Recommended for zero-shot applications.
Supported Languages 
ak (Basic), ar (Basic), as (Basic), bm (Basic), bn (Basic), ca (Basic), code (Basic), en (Proficient), es (Proficient), eu (Basic), fon (Basic), fr (Proficient), gu (Basic), hi (Proficient), id (Basic), ig (Basic), ki (Basic), kn (Basic), lg (Basic), ln (Basic), ml (Basic), mr (Basic), ne (Basic), nso (Basic), ny (Basic), or (Basic), pa (Basic), pt (Proficient), rn (Basic), rw (Basic), sn (Basic), st (Basic), sw (Basic), ta (Basic), te (Basic), tn (Basic), ts (Basic), tum (Basic), tw (Basic), ur (Basic), vi (Basic), wo (Basic), xh (Basic), yo (Basic), zh (Proficient), zu (Basic)
Training Details 
Data Sources:
Muennighoff/P3
Data Volume:
4.19 billion tokens
Methodology:
Finetuned on crosslingual task mixture (xP3)
Hardware Used:
64 A100 80GB GPUs with 8 GPUs per node
Model Architecture:
Bloom-7b1 architecture
Input Output 
Input Format:
Textual prompts in various languages
Accepted Modalities:
Text
Output Format:
Textual completion
Performance Tips:
Ensure prompt clarity with full stops or clear separators
Release Notes 
Version:
Not specified
Date:
Not specified
Notes:
Multitask finetuned on xP3 for English-focused prompting.
LLM NameBloomz 7b1 P3
Repository 🤗https://huggingface.co/bigscience/bloomz-7b1-p3 
Model Size7.1b
Required VRAM14.1 GB
Updated2026-03-30
Maintainerbigscience
Model Typebloom
Model Files  14.1 GB   14.1 GB
Supported Languagesak ar as bm bn ca code en es eu fr gu hi id ig ki kn lg ln ml mr ne ny or pa pt rn rw sn st sw ta te tn ts tw ur vi wo xh yo zh zu
Model ArchitectureBloomForCausalLM
Licensebigscience-bloom-rail-1.0
Transformers Version4.21.0.dev0
Tokenizer ClassBloomTokenizerFast
Padding Token<pad>
Vocabulary Size250880

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Note: green Score (e.g. "73.2") means that the model is better than bigscience/bloomz-7b1-p3.

Rank the Bloomz 7b1 P3 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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