BLOOM 7B
by BigScience
Compact BLOOM model for efficient multilingual deployment.
Quick Facts
- Model Size
- 7B
- Context Length
- 2K tokens
- Release Date
- Jul 2022
- License
- BigScience RAIL License
- Provider
- BigScience
- KYI Score
- 7.4/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 7B
- Context Length
- 2K tokens
- License
- BigScience RAIL License
- Pricing
- free
- Release Date
- July 6, 2022
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Good multilingual
- ✓Efficient
- ✓Open license
- ✓Easy deployment
Cons
- !Older model
- !Shorter context
- !Limited capabilities
Ideal Use Cases
Multilingual tasks
Edge deployment
Translation
General tasks
BLOOM 7B FAQ
What is BLOOM 7B best used for?
BLOOM 7B excels at Multilingual tasks, Edge deployment, Translation. Good multilingual, making it ideal for production applications requiring llm capabilities.
How does BLOOM 7B compare to other models?
BLOOM 7B has a KYI score of 7.4/10, with 7B parameters. It offers good multilingual and efficient. Check our comparison pages for detailed benchmarks.
What are the system requirements for BLOOM 7B?
BLOOM 7B with 7B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 2K tokens.
Is BLOOM 7B free to use?
Yes, BLOOM 7B is free and licensed under BigScience RAIL License. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
Related Models
LLaMA 3.1 405B
9.4/10Meta's largest and most capable open-source language model with 405 billion parameters, offering state-of-the-art performance across reasoning, coding, and multilingual tasks.
LLaMA 3.1 70B
9.1/10A powerful 70B parameter model that balances performance and efficiency, ideal for production deployments requiring high-quality outputs.
BGE M3
9.1/10Multi-lingual, multi-functionality, multi-granularity embedding model.