Dolphin 2.6 Mixtral 8x7b
| Property | Value |
|---|---|
| Base Model | Mixtral-8x7b |
| Context Window | 16k (training) / 32k (base) |
| License | Apache 2.0 |
| Training Duration | 3 days on 4x A100s |
| Training Method | qLoRA and Axolotl |
What is dolphin-2.6-mixtral-8x7b?
Dolphin 2.6 is an advanced language model built on the Mixtral-8x7b architecture, specifically optimized for coding tasks and general-purpose interactions. Sponsored by Convai, this model represents a significant evolution in the Dolphin series, featuring enhanced coding capabilities and an uncensored approach to task completion.
Implementation Details
The model utilizes ChatML prompt format and was trained for 1.5 epochs using qLoRA and Axolotl frameworks. It incorporates data from seven distinct datasets, including specialized coding datasets like Magicoder-OSS-Instruct-75K and Magicoder-Evol-Instruct-110K.
- Implemented with 16k context window during fine-tuning
- Utilizes trust_remote_code requirement
- Incorporates enhanced empathy data from Samantha-based datasets
- Features Capybara dataset integration
Core Capabilities
- Advanced coding assistance and problem-solving
- Uncensored and unbiased responses
- High compliance with user requests
- Comprehensive context understanding
- Enhanced empathy in interactions
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its combination of advanced coding capabilities with uncensored responses, making it highly versatile for both technical and general-purpose applications. The integration of multiple high-quality datasets and its training configuration enables superior performance in coding tasks while maintaining conversational fluidity.
Q: What are the recommended use cases?
This model excels in coding-related tasks, technical problem-solving, and general conversational applications. It's particularly suitable for developers requiring detailed coding assistance, though users should implement their own alignment layer before deploying it as a service due to its uncensored nature.
