Choosing a foundational model can be challenging. Here’s how to think about it.
Currently Supported Models (More coming soon)
Model Name | Developer | Model Size | Description |
---|---|---|---|
GPT-4 | OpenAI | 800 GB | High performance, versatile model for advanced chatbot applications |
GPT-4-1106-preview | OpenAI | 1.2 TB | Latest version with cutting-edge features and improvements |
GPT-4-turbo | OpenAI | 1.5 TB | Fastest response times, optimized for speed and efficiency |
GPT-4o | OpenAI | 1.1 TB | Optimized for specific tasks |
GPT-3.5-turbo | OpenAI | 350 GB | Cost-effective, fast responses, suitable for general-purpose chatbots |
RedPajama-INCITE-7B-Chat | TogetherAI | 1.12 GB | Lightweight, efficient model designed for chat applications |
Llama-2-7B-32K-Instruct | Meta, TogetherAI | 308 MB | Handles extended context, ideal for long conversations |
Mistral-7B-Instruct-v0.1 | MistralAI | 6.85 GB | High accuracy, instruction-tuned for better task following |
Mistral-7B-Instruct-v0.2 | MistralAI | 5.31 GB | Enhanced instruction-following capabilities for improved interaction quality |
OpenHermes-2p5-Mistral-7B | MistralAI | 166 MB | Hybrid model, excels in handling complex and diverse tasks |
Nous-Hermes-2-Mixtral-8x7B-DPO | Mixtral | 662 MB | Optimized diverse parameters for versatile chatbot applications |
Mixtral-8x7B-Instruct-v0.1 | Mixtral | 166 MB | Instruction-tuned, efficient for specific tasks with high precision |
Nous-Hermes-2-Mixtral-8x7B-SFT | Mixtral | 166 MB | Supervised fine-tuning ensures high precision and accuracy in responses |