Dolphin3.0-Llama3.1-8B
| Property | Value |
|---|---|
| Model Size | 8B parameters |
| Base Architecture | Llama 3.1 |
| Authors | Eric Hartford, Ben Gitter, BlouseJury, Cognitive Computations |
| Model URL | huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B |
What is Dolphin3.0-Llama3.1-8B?
Dolphin 3.0 represents the latest evolution in the Dolphin series of instruct-tuned models, designed as a versatile local alternative to proprietary models like ChatGPT, Claude, and Gemini. Built on Llama 3.1's architecture, it's specifically engineered to provide comprehensive capabilities in coding, mathematics, function calling, and general-purpose tasks while giving users full control over the model's behavior and data.
Implementation Details
The model implements ChatML for its chat template and features a customizable system prompt architecture that allows users to define the model's personality, rules, and behavior patterns. It can be deployed through various platforms including ollama, LM Studio, Huggingface Transformers library, vllm, sglang, and tgi.
- Fully customizable system prompts for precise behavior control
- ChatML-based interaction format
- Multiple deployment options for flexibility
- Local hosting capability for data privacy
- Built on Llama 3.1's advanced architecture
Core Capabilities
- Advanced coding assistance across multiple programming languages
- Mathematical problem-solving with step-by-step reasoning
- Function calling capabilities for structured outputs
- General-purpose conversation and task completion
- Customizable alignment and ethics guidelines
Frequently Asked Questions
Q: What makes this model unique?
Dolphin 3.0 stands out through its combination of local deployment capabilities, user control over system prompts, and comprehensive feature set. Unlike cloud-based solutions, it gives users full control over their data and model behavior while maintaining professional-grade capabilities.
Q: What are the recommended use cases?
The model excels in software development, mathematical analysis, function calling applications, and general-purpose AI assistance. It's particularly suitable for businesses seeking to integrate AI capabilities while maintaining data privacy and control over the model's behavior.
