SynthIA-7B-v1.3
| Property | Value |
|---|---|
| Base Model | Mistral-7B-v0.1 |
| License | Apache 2.0 |
| Research Paper | Based on Orca methodology |
| Average Benchmark Score | 57.11% |
What is SynthIA-7B-v1.3?
SynthIA-7B-v1.3 (Synthetic Intelligent Agent) is an advanced language model built on the Mistral-7B-v0.1 architecture, specifically fine-tuned for instruction following and long-form conversations. The model implements Tree of Thought and Chain of Thought reasoning capabilities, making it particularly effective for complex problem-solving tasks.
Implementation Details
The model has been trained using Orca-style datasets and demonstrates impressive performance across various benchmarks. It achieves notable scores in key areas: 83.45% on HellaSwag, 62.65% on MMLU, and 62.12% on ARC challenges.
- Implements Tree of Thoughts + Chain of Thought reasoning
- Uncensored model architecture for flexible response generation
- Supports long-form conversations and detailed instruction following
- Compatible with Transformers library and PyTorch
Core Capabilities
- Advanced reasoning and problem-solving through structured thought processes
- Strong performance on multiple-choice and general knowledge tasks
- Efficient text generation with customizable parameters
- Enhanced instruction following and conversational abilities
Frequently Asked Questions
Q: What makes this model unique?
SynthIA-7B-v1.3 stands out for its implementation of Tree of Thoughts reasoning and uncensored response capability, making it particularly suitable for complex problem-solving and detailed explanations.
Q: What are the recommended use cases?
The model excels in instruction following, long-form conversations, and complex reasoning tasks. It's particularly effective for applications requiring detailed explanations and step-by-step problem-solving approaches.
