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Bloomz 1b1 by bigscience

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  Arxiv:2211.01786   Ak   Ar   As   Autotrain compatible   Bloom   Bm   Bn   Ca   Code   Dataset:bigscience/xp3   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   Tensorboard   Tn   Ts   Tum   Tw   Ur   Vi   Wo   Xh   Yo   Zh   Zu
Model Card on HF 🤗: https://huggingface.co/bigscience/bloomz-1b1 

Bloomz 1b1 Benchmarks

LLME Score: 0.06917
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloomz 1b1 (bigscience/bloomz-1b1)
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Bloomz 1b1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text generation, Sentiment Analysis, Language Translation, Program Synthesis
Primary Use Cases:
Sentiment Analysis, Language Translation, Text Generation
Limitations:
Performance may vary depending on prompt clarity
Considerations:
Clear prompts and adequate context needed for accurate results
Additional Notes 
Recommended for tasks requiring crosslingual understanding and prompting in English.
Supported Languages 
natural_languages (/-/--> ak, ar, as, bm, bn, ca, code, en, es, eu, fon, fr, gu, hi, id, ig, ki, kn, lg, ln, ml, mr, ne, nso, ny, or, pa, pt, rn, rw, sn, st, sw, ta, te, tn, ts, tum, tw, ur, vi, wo, xh, yo, zh, zu), programming_languages (/-/--> C, C++, C#, Go, Java, JavaScript, Lua, PHP, Python, Ruby, Rust, Scala, TypeScript)
Training Details 
Data Sources:
bigscience/xP3, Muennighoff/P3 for the research version
Data Volume:
502 million tokens finetuning
Methodology:
Multitask finetuned on crosslingual task mixture.
Hardware Used:
64 A100 80GB GPUs with 8 GPUs per node (8 nodes) using NVLink 4 inter-gpu connects, 4 OmniPath links
Model Architecture:
Same as [bloom-1b1]
Input Output 
Input Format:
Text prompts in various languages
Accepted Modalities:
text
Output Format:
Text; typically in English or the prompt's language
Performance Tips:
Ensure clear distinction between prompt and expected continuation to enhance performance.
Release Notes 
Version:
1.0
Date:
2022-11-28
Notes:
Initial release with multitask finetuning capabilities on xP3 for crosslingual task performances.
LLM NameBloomz 1b1
Repository 🤗https://huggingface.co/bigscience/bloomz-1b1 
Model Size1.1b
Required VRAM2.1 GB
Updated2025-08-18
Maintainerbigscience
Model Typebloom
Model Files  2.1 GB   2.1 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 Version4.20.0
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-1b1.

Rank the Bloomz 1b1 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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