Dolphin3.0-Qwen2.5-3b
| Property | Value |
|---|---|
| Model Size | 3B parameters |
| Base Architecture | Qwen 2.5 |
| Author | cognitivecomputations |
| Model URL | HuggingFace |
What is Dolphin3.0-Qwen2.5-3b?
Dolphin3.0-Qwen2.5-3b is a versatile instruct-tuned language model designed to serve as the ultimate general-purpose local AI assistant. Built on the Qwen 2.5 architecture, this model represents the latest iteration in the Dolphin series, focused on providing robust capabilities in coding, mathematics, function calling, and general use cases.
Implementation Details
The model implements ChatML as its chat template and provides full control over system prompts, allowing users to define custom behaviors and alignments. It can be deployed through various platforms including ollama, LM Studio, HuggingFace Transformers library, vllm, sglang, and tgi.
- Customizable system prompts for tailored behavior
- ChatML-based interaction format
- Local deployment capabilities
- Trained with diverse high-quality datasets
Core Capabilities
- Advanced coding assistance across multiple languages
- Mathematical problem-solving with chain-of-thought reasoning
- Function calling capabilities
- General-purpose conversational abilities
- Customizable alignment and ethics through system prompts
Frequently Asked Questions
Q: What makes this model unique?
Unlike cloud-based alternatives like ChatGPT or Claude, Dolphin3.0-Qwen2.5-3b gives complete control to the system owner. Users can define their own system prompts, alignment, and guidelines while maintaining data privacy through local deployment.
Q: What are the recommended use cases?
The model excels in coding assistance, mathematical problem-solving, function calling implementations, and general-purpose tasks. It's particularly suitable for businesses seeking to integrate AI capabilities while maintaining control over their data and model behavior.
