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Bloom 1b1 Intermediate by bigscience

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  Arxiv:1909.08053   Arxiv:2108.12409   Arxiv:2110.02861   Ak   Ar   As   Autotrain compatible   Bloom   Bm   Bn   Ca   Code   En   Endpoints compatible   Es   Eu   Fon   Fr   Gu   Hi   Id   Ig   Ki   Kn   Lg   Ln   Ml   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   Zhs   Zht   Zu
Model Card on HF 🤗: https://huggingface.co/bigscience/bloom-1b1-intermediate 

Bloom 1b1 Intermediate Benchmarks

LLME Score: 0.03615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloom 1b1 Intermediate (bigscience/bloom-1b1-intermediate)

Bloom 1b1 Intermediate Parameters and Internals

Model Type 
Transformer-based Language Model
Use Cases 
Areas:
Research, Non-commercial applications
Applications:
Text generation, Exploration of language model characteristics
Primary Use Cases:
Language generation, Information Extraction, Question Answering, Summarization
Limitations:
High-stakes settings, Critical decisions, Generating factual content
Considerations:
Using the model in high-stakes settings is out of scope. Include appropriate disclaimers and age blocks if necessary.
Additional Notes 
Model outputs are statistical predictions over text sequences. Care should be taken not to rely on outputs for factual content.
Supported Languages 
ak (Akan), ar (Arabic), as (Assamese), bm (Bambara), bn (Bengali), ca (Catalan), code (Programming Languages), en (English), es (Spanish), eu (Basque), fon (Fon), fr (French), gu (Gujarati), hi (Hindi), id (Indonesian), ig (Igbo), ki (Kikuyu), kn (Kannada), lg (Luganda), ln (Lingala), ml (Malayalam), mr (Marathi), ne (Nepali), nso (Northern Sotho), ny (Chichewa), or (Odia), pa (Punjabi), pt (Portuguese), rn (Kirundi), rw (Kinyarwanda), sn (Shona), st (Southern Sotho), sw (Swahili), ta (Tamil), te (Telugu), tn (Tswana), ts (Tsonga), tum (Tumbuka), tw (Twi), ur (Urdu), vi (Vietnamese), wo (Wolof), xh (Xhosa), yo (Yoruba), zh (Chinese), zhs (Simplified Chinese), zht (Traditional Chinese), zu (Zulu)
Training Details 
Data Sources:
Various text sources, 45 natural languages, 12 programming languages
Data Volume:
1.5TB of pre-processed text, 350B unique tokens
Methodology:
Cross Entropy with mean reduction
Context Length:
2048
Training Time:
11th March, 2022 to 5th July, 2022
Hardware Used:
384 A100 80GB GPUs, AMD CPU
Model Architecture:
Decoder-only architecture, Modified from Megatron-LM GPT2
Release Notes 
Version:
1.0.0
Date:
2022-07-11
Notes:
Initial release with intermediary checkpoints.
LLM NameBloom 1b1 Intermediate
Repository 🤗https://huggingface.co/bigscience/bloom-1b1-intermediate 
Model Size1.1b
Required VRAM2.1 GB
Updated2025-03-24
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 Version4.21.0.dev0
Vocabulary Size250880

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Note: green Score (e.g. "73.2") means that the model is better than bigscience/bloom-1b1-intermediate.

Rank the Bloom 1b1 Intermediate 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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