ModelLLMsv176B

BLOOM

by BigScience Workshop · free · Last verified 2026-03-17

BLOOM is a 176 billion parameter, open-access multilingual language model developed by the BigScience research workshop. Trained on 46 natural languages and 13 programming languages, it provides powerful text and code generation capabilities, making it a key resource for researchers and developers building multilingual AI applications.

https://huggingface.co/bigscience/bloom ↗

B—Above Average

Adoption: BQuality: B+Freshness: CCitations: AEngagement: F

Specifications

License: BigScience RAIL-M
Pricing: free
Capabilities: multilingual-text-generation, cross-lingual-translation, text-summarization, question-answering, code-generation, few-shot-in-context-learning, sentiment-analysis, information-extraction
Integrations: hugging-face-transformers, pytorch, deepspeed, accelerate, amazon-sagemaker, google-vertex-ai
Use Cases: [object Object], [object Object], [object Object], [object Object], [object Object]
API Available: Yes
Parameters: ~176B
Context Window: 2K
Modalities: text
Training Cutoff: 2022
Tags: foundational-model, bigscience, multilingual, open-access, collaborative-research, text-generation, code-generation, transformer-architecture, large-language-model, nlp, decoder-only
Added: 2026-03-17
Completeness: 0.95%

Index Score

61.6

Adoption

Quality

Freshness

Citations

Engagement

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