Falcon-40B-Instruct is a 40B-parameter causal decoder-only model built by TII based on Falcon-40B and fine-tuned on a mixture of Baize.
Open source
24 alternativesExplore BLOOM, a large language model project, through its model page and documentation on Hugging Face.
About Bloom
BLOOM is a large language model project from the BigScience Workshop, documented on Hugging Face for use with Transformers. It uses an auto-regressive architecture for next-token prediction and was trained on 46 languages and 13 programming languages.
The page lists six versions from bloom-560m to bloom with 176B parameters, with example scripts, task guides, and configuration reference for text generation and related tasks.
Key features
- Auto-regressive next-token prediction for text generation
- Trained on 46 languages and 13 programming languages
- Available in six sizes from 560M to 176B parameters
- BloomForCausalLM support with example script and notebook
- Task guides for classification and question answering
- Configuration via BloomConfig parameters such as vocab size
Best for: Researchers and developers using Transformers for multilingual text generation work.
Good for
- Offered in multiple sizes from 560M to 176B parameters
- Covers 46 languages and 13 programming languages
- Includes example script, notebook, and task guides
Bloom at a glance
- Category
- AI & Machine Learning › Models & ML Research
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Bloom FAQ
What versions of BLOOM are listed?
bloom-560m, bloom-1b1, bloom-1b7, bloom-3b, bloom-7b1, and bloom with 176B parameters.
How many languages was BLOOM trained on?
46 different languages and 13 programming languages.
What type of model architecture does BLOOM use?
An auto-regressive model for next token prediction, essentially similar to GPT3.
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