Model types
SeekrFlow supports two types of models for agents:Base models
Base models are pre-trained models available on the SeekrFlow platform. These models provide general-purpose reasoning capabilities and can handle a wide range of tasks without additional training. SeekrFlow supports various base models from leading providers:Meta Llama models
Qwen models
Mistral AI models
DeepSeek models
Google Gemma models
Other models
For the complete list of available base models with detailed specifications, see the Models API reference.
Fine-tuned models
Fine-tuned models are custom-trained models adapted to specific domains or use cases. These models are created through SeekrFlow’s fine-tuning component, which embeds specialized knowledge and behaviors directly into model parameters.Selecting a model
When configuring an agent, you specify which model to use. Consider these factors when selecting a model:- Task complexity – More complex reasoning tasks may benefit from larger or specialized models.
- Response requirements – Balance between speed and accuracy based on your use case.
- Domain specificity – Fine-tuned models perform better for specialized domains with unique terminology or requirements.
- Cost and performance – Larger models provide enhanced capabilities but with higher computational costs.