Exploring AI Models
The AI Models section provides access to a wide range of pre-trained and custom models. These models combine instructions, additional knowledge, and specialized skills for various tasks.
To get started, navigate to the AI Models section in your dashboard.
What you can do on the dashboard:
- Use the search field to find a specific model for your needs.
- Browse a list of models, each with a detailed description, developer information, and capability type
Popular AI Models
| Model Name | Developer | Description |
|---|---|---|
| deepseek-ai/DeepSeek-R1 | DeepSeek | A high-performance model series optimized for text generation, summarization, and instruction-following, featuring advanced distillation techniques for scalability and efficiency. |
| deepseek-ai/DeepSeek-R1-Distill-Llama-70B | DeepSeek | A fine-tuned model from the DeepSeek-R1 series, designed for high computational tasks with enhanced performance and efficiency. |
| meta-llama/Llama-3.3-70B-Instruct | Meta AI | A large-scale transformer model fine-tuned for instruction-following, aligning responses with human preferences for improved usability. |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | DeepSeek | A fine-tuned model from the DeepSeek-R1 series, incorporating specialized configurations for enhanced language processing capabilities. |
| Qwen/QwQ-32B-Preview | Qwen | A preview version of QwQ-32B, showcasing Qwen’s advanced language processing capabilities for experimental and research use. |
| databricks/dbrx-instruct | Databricks | A model designed for precise, task-oriented responses, making it ideal for enterprise and technical applications. |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | DeepSeek | A distilled version of the Llama-8B model from the DeepSeek-R1 series, optimized for efficiency and accuracy in NLP tasks. |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-14B | DeepSeek | A streamlined 14B model from the DeepSeek-R1 series, enhancing performance in computationally demanding scenarios. |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | DeepSeek | A balanced model offering strong performance and efficiency, suitable for various NLP applications. |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | DeepSeek | A lightweight yet powerful version of the DeepSeek-R1 series, ideal for resource-constrained environments. |
| microsoft/phi-4 | Microsoft | A compact yet powerful model excelling in logical reasoning and analytical problem-solving, optimized for efficiency. |
| mistralai/Mistral-Large-Instruct-2411 | Mistral AI | A high-capacity language model fine-tuned for instruction-based tasks, designed for advanced comprehension and interactive applications. |
| neuralmagic/Llama-3.1-Nemotron-70B-Instruct-HF-FP8-dynamic | Neural Magic | A highly optimized instruction-following model leveraging dynamic precision for improved efficiency in AI-driven workflows. |
| google/gemma-2-9b-it | A lightweight yet powerful instruction-tuned model, providing efficient and context-aware responses for various NLP applications. | |
| nvidia/AceMath-7B-Instruct | NVIDIA | A model specialized in mathematical reasoning and problem-solving, optimized for instructional and computational tasks. |
For a full list of models, visit the AI Models section in your dashboard.
Testing AI Model
Before using any of our AI models in your project, you can perform real-time testing directly from the dashboard. This allows you to evaluate the model’s performance and ensure it meets your requirements.
How to Test an AI Model
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Select a Model:
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Navigate to the AI Models dashboard.
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Select the model you want to test by clicking on it.
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Start Testing:
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On the AI model chat page, type your question or input into the centered text field.
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Click the arrow icon to submit your query.
Note: Below the request field, you can see the Used Free Token value and the Available Free Token balance. For more details on Free Tokens for specific AI models, visit our API Reference page.
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Interact with the Model:
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The AI model will respond, starting a conversation. You can continue testing by asking additional questions or providing more input.
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Compare different models to find the one that best suits your needs.
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Managing Chats
- View Previous Chats:
- On the right-hand side, you can manage your previously created chats with different AI models.
- Click on any chat to dive deeper into the conversation.
- Create or Remove Chats:
- Create a new chat by clicking the Start New Chat button.
- Remove unnecessary chats to keep your workspace organized.
Switching Between Models
- Next to the Start New Chat button, you’ll find a dropdown menu with the currently selected model.
- Click the dropdown to switch to a different AI model and start a new conversation with it.
Updated 4 days ago