- Provider
- Meta
- Context window
- 128K ctx
- Max output
- -
- Input price
- -
- Output price
- -
- License
- Llama 3.1 Community License
- Open weights
- Yes
Llama 3.1 8B is a compact language model from Meta, positioned for scenarios where larger models are impractical due to hardware constraints. Its 128K token context window is notable for its size class, making it suitable for applications requiring memory of longer conversations or documents. The model is licensed under the Llama 3.1 Community License, which permits use and modification but may have restrictions.
Compared to proprietary small models, Llama 3.1 8B offers transparency through its open-weights approach, appealing to developers needing auditability or customization. However, it lacks some specifications common in commercial alternatives, such as rate limits or output length guarantees. Its text-only focus limits it against multimodal competitors.
This model is best suited for developers prioritizing hardware efficiency, open-weights access, or edge deployment over cutting-edge performance. Organizations with strict data privacy requirements may find it particularly valuable for local processing. Those needing higher throughput or multimodal capabilities should evaluate larger or specialized alternatives.
Modality
Use cases
Pros & cons
Pros
- Open-weights design allows transparency and customization
- Large context window (128K tokens) for a small model
- Optimized for on-device or edge deployment
Cons
- Lacks pricing information for commercial use
- No specified maximum output length may complicate deployment
- Limited to text modality, excluding multimodal applications
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Llama 3.1 8B