Dolphin 2.6 Mistral 7B GGUF
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| License | Apache 2.0 |
| Base Model | Mistral-7B |
| Context Length | 16k tokens |
| Quantization | Multiple GGUF variants |
What is dolphin-2.6-mistral-7B-GGUF?
Dolphin 2.6 is an advanced language model built on Mistral-7B architecture, specifically optimized for coding tasks while maintaining strong general capabilities. It features GGUF quantization for efficient deployment and includes various compression options from 2-bit to 8-bit precision.
Implementation Details
The model utilizes ChatML prompt format and was trained for 3 epochs on 4x A100s using qLoRA and Axolotl. It incorporates training data from multiple high-quality datasets including Dolphin, Airoboros, OpenHermes, and Magicoder.
- Multiple quantization options (Q2_K to Q8_0) for different performance/quality tradeoffs
- 16K context window supporting extended sequences
- Optimized for both CPU and GPU deployment
- Compatible with various frameworks including llama.cpp and text-generation-webui
Core Capabilities
- Advanced coding assistance and generation
- General conversation and task completion
- Uncensored responses with customizable alignment
- Extended context understanding
- Multi-framework compatibility
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its exceptional coding capabilities combined with general-purpose functionality, while maintaining the efficiency of GGUF quantization. It offers remarkable flexibility in deployment options and has been trained on a diverse set of high-quality datasets.
Q: What are the recommended use cases?
Primary use cases include software development, code generation, technical writing, and general-purpose AI assistance. The model is particularly well-suited for scenarios requiring both technical precision and natural language understanding.
