Introduction
Supported Models
| Model Name | Parameters | Description |
|---|---|---|
| Llama 2 7B Chat | 7B | Chatbots and virtual assistants. This model generates informative and engaging text tailored for chat applications. It’s a smaller version optimized for dialogue use cases. |
| Mistral 7B OpenOrca | 7B | Ideal for code generation, QA, and reasoning tasks. This model excels in generating code in various programming languages and responding to code-related questions. |
| CodeLlama 13B Instruct | 13B | Specifically designed for software development tasks. This model generates code in various programming languages and can understand and follow natural language instructions. |
| Vicuna 13B | 13B | Versatile model for content generation and translation. It excels in generating text, translating languages, and writing creative content. It can also provide answers with a larger context. |
| Llama 2 13B Chat | 13B | Tailored for chatbots with complex conversations. This model generates informative and engaging text, optimized for dialogue use cases in chat applications. |
| Llama 2 70B | 70B | Research & experimentation powerhouse. This very large language model is under development and is versatile for various tasks. |
| CodeLlama 34B Instruct | 34B | Specialized in code generation and review. This model excels in generating code in various programming languages and follows natural language instructions related to code. |
| Zephyr 7B | 7B | Fine-tuned for chatbots and virtual assistants. This model is specifically trained on the UltraChat dataset for synthetic dialogues. |
| Mixtral 8x7B Inst | 8x7B | Powerhouse for code generation, QA, reasoning, and maths. Outperforms Llama 2 70B on most benchmarks. |
| Mistral 7b Instruct | 7B | Versatile model for chatbots, RAG (Retrieval-Augmented Generation), code generation, and creative content writing. |
| Deepseek Coder 6.7B | 6.7B | Tailored for code generation and software development tasks. This model excels in generating code in various programming languages and responding to code-related questions. |
| Microsoft Phi 2 | Tiny | A tiny model suitable for specific use cases with a smaller footprint. Ideal for code generation, Q&A, and scenarios where a compact model is preferred. |
| Neural Chat 7B | 7B | Designed for general-purpose Q&A and maths-related tasks. A small model by Intel suitable for various applications. |
| Mixtral 8x7B | 8x7B | Powerful model for code generation and Q&A tasks. Possesses capabilities comparable to GPT 3.5. |
| Mixtral 2x7B | 2x7B | Specialized in code generation and Q&A, particularly focused on coding and QA tasks. |
Additionally, NextAI offers a variety of tools and features that make it easy to use these models, such as:
- A user-friendly API
- A variety of pre-built templates and models
- The ability to create and train your own models
This makes NextAI a powerful tool for developers, researchers, and businesses of all sizes.