LLaMA 3.1 405B
by Meta
Meta'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.
Quick Facts
- Model Size
- 405B
- Context Length
- 128K tokens
- Release Date
- Jul 2024
- License
- LLaMA 3.1 Community License
- Provider
- Meta
- KYI Score
- 9.4/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 405B
- Context Length
- 128K tokens
- License
- LLaMA 3.1 Community License
- Pricing
- free
- Release Date
- July 23, 2024
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Exceptional reasoning
- ✓Strong coding abilities
- ✓Multilingual
- ✓Long context window
Cons
- !Requires significant compute
- !Large model size
- !Slower inference
Ideal Use Cases
Complex reasoning
Code generation
Research
Content creation
Translation
LLaMA 3.1 405B FAQ
What is LLaMA 3.1 405B best used for?
LLaMA 3.1 405B excels at Complex reasoning, Code generation, Research. Exceptional reasoning, making it ideal for production applications requiring llm capabilities.
How does LLaMA 3.1 405B compare to other models?
LLaMA 3.1 405B has a KYI score of 9.4/10, with 405B parameters. It offers exceptional reasoning and strong coding abilities. Check our comparison pages for detailed benchmarks.
What are the system requirements for LLaMA 3.1 405B?
LLaMA 3.1 405B with 405B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 128K tokens.
Is LLaMA 3.1 405B free to use?
Yes, LLaMA 3.1 405B is free and licensed under LLaMA 3.1 Community 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 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.
Mixtral 8x22B
9/10Mistral's largest open model with 141B total parameters, offering exceptional performance across all tasks with efficient sparse activation.