Dolphin3.0-R1-Mistral-24B-Q4_K_M-GGUF
| Property | Value |
|---|---|
| Base Model | Mistral-24B |
| Format | GGUF (Q4_K_M quantization) |
| Author | Triangle104 |
| Model URL | HuggingFace Repository |
What is Dolphin3.0-R1-Mistral-24B-Q4_K_M-GGUF?
Dolphin3.0-R1 represents the latest evolution in the Dolphin series, built on the powerful Mistral-24B architecture. This model has been specifically designed as a comprehensive local AI solution, trained for 3 epochs on 800k reasoning traces from the Dolphin-R1 dataset. It stands out for its ability to handle multiple tasks including coding, mathematics, reasoning, and function calling capabilities.
Implementation Details
The model employs Q4_K_M quantization in GGUF format, optimized for local deployment using llama.cpp. A crucial technical consideration is the recommended temperature setting of 0.05 to 0.1, as higher values may lead to self-doubt and answer revision behaviors.
- Optimized for local deployment via llama.cpp
- Supports both CLI and server implementation modes
- Features steerable system prompts for customizable alignment
- Maintains data privacy through local execution
Core Capabilities
- General-purpose reasoning and instruction following
- Advanced coding and mathematical problem-solving
- Customizable alignment and ethics frameworks
- Function calling and agentic behavior support
- Private and secure local execution
Frequently Asked Questions
Q: What makes this model unique?
Unlike cloud-based alternatives, Dolphin3.0 gives complete control to the system owner, allowing customization of system prompts, alignment, and ethical guidelines while ensuring data privacy through local execution.
Q: What are the recommended use cases?
The model is ideal for businesses and developers requiring a versatile local AI solution for coding, mathematical computations, reasoning tasks, and general-purpose applications where data privacy and customizable alignment are crucial.
