Toppy M (7B) overview
Toppy M (7B) specs
- Developer
- Undi95
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Toppy M (7B) Description
Toppy M 7B, created by Undi, significantly improves model performance and versatility. This model is designed to be extensible and compatible with a wide array of platforms, making it an excellent choice for developers and researchers needing a robust AI model for complex computational tasks.
Use Cases for the Model
The Toppy M 7B is ideal for scenarios requiring intensive data processing and sophisticated model interactions. Applications include advanced natural language processing, real-time decision-making in AI-driven systems, and dynamic content generation. Its adaptability makes it suitable for integration into high-demand environments like interactive web UIs and computational research platforms.
How does it compare to other models?
It supports enhanced tokenization capabilities and is equipped with features that enable effective handling of special tokens. This model is also noted for its broad compatibility with leading AI development tools and platforms, offering developers extensive flexibility and control.
Tips for Maximizing Efficiency
For optimal use of Toppy M 7B, it is crucial to select the appropriate quantization method to balance between computational demands and desired output quality. Proper integration into suitable computational environments and regular updates from its repository ensure the model operates at peak efficiency.
Optimize Text Descriptions for Better Results
Clear, concise, and contextually appropriate text inputs are essential when working with Toppy M 7B to maximize the model’s output quality. Properly structured prompts enable the model to leverage its advanced processing capabilities fully, resulting in more accurate and relevant outputs for complex tasks.
Different Types of API Calls
Toppy M 7B - supports various API calls, suitable for both synchronous and asynchronous operations. This flexibility allows developers to tailor the model’s integration based on specific project needs, enhancing overall performance and responsiveness in applications.
Using APIs for Sophisticated AI Interactions with Toppy M 7B
Incorporating Toppy M 7B via API into your systems empowers your applications with state-of-the-art AI capabilities. Whether pushing the boundaries of AI research or deploying interactive AI-driven applications, Toppy M 7B provides the necessary tools and performance to achieve exceptional results in a wide range of advanced computational tasks.
Use cases
- Advanced natural language processing for research and development
- Chatbots and conversational AI
- Real-time interactive AI applications and tools
- Code generation and technical documentation
- Content generation and summarization
- High-demand computational research platforms
- Integration in web UIs and AI-driven decision systems
Capabilities
- Function calling
- Streaming
- Structured outputs
Toppy M (7B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.21 | 1M tokens |
| Output | $0.21 | 1M tokens |
Toppy M (7B) is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Toppy M (7B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Toppy M (7B) | $0.21 | $0.21 |
 Small 3.2 24B | $0.0794 | $0.2116 |
 Nemotron 3 Nano 30B A3B | $0.0529 | $0.2116 |
| ReMM-SLERP-L2-13B | $0.529 | $0.7935 |
| ReMM SLERP 13B | $0.529 | $0.7935 |
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Toppy M (7B) FAQ
Does Toppy M (7B) support streaming?
Yes, Toppy M (7B) can stream responses as they are generated.
Does Toppy M (7B) support tool calling and structured outputs?
Yes, Toppy M (7B) supports both function calling and structured outputs.
Who created Toppy M (7B)?
Toppy M (7B) was built by Undi95.