phixtral-4x2_8
| Property | Value |
|---|---|
| Parameter Count | 7.81B |
| Model Type | Mixture of Experts (MoE) |
| License | MIT |
| Format | FP16 |
| Language | English |
What is phixtral-4x2_8?
phixtral-4x2_8 is an innovative Mixture of Experts (MoE) model that combines four distinct Phi-2 variants into a single, more capable system. Inspired by Mixtral-8x7B-v0.1's architecture, this model represents a significant advancement in combining multiple expert models for enhanced performance in both text generation and code-related tasks.
Implementation Details
The model utilizes a custom implementation of the mergekit library and combines four expert models: dolphin-2_6-phi-2, phi-2-dpo, phi-2-sft-dpo-gpt4_en-ep1, and phi-2-coder. It features a unique configuration with 2 experts per token and 4 local experts, offering a balanced approach to model routing and inference.
- Custom MoE architecture with 4 expert models
- Efficient routing mechanism using cheap_embed gate mode
- 4-bit quantization support for efficient deployment
- Flexible configuration options for expert selection
Core Capabilities
- Superior performance across multiple evaluation benchmarks (AGIEval, GPT4All, TruthfulQA, Bigbench)
- Enhanced code generation and understanding
- Efficient text generation with expert routing
- Optimized for both general language tasks and coding applications
Frequently Asked Questions
Q: What makes this model unique?
This model is the first Mixture of Experts implementation using four Phi-2 models, showing consistent performance improvements over individual expert models across multiple benchmarks. It achieves an average score of 47.7 across evaluation metrics, surpassing its constituent models.
Q: What are the recommended use cases?
The model is particularly well-suited for text generation tasks, code development, and general language understanding applications. It can be efficiently deployed using 4-bit quantization, making it practical for resource-constrained environments while maintaining performance.
