Snowflake Arctic Base
| Property | Value |
|---|---|
| Parameter Count | 482B parameters (17B active) |
| Model Type | Dense-MoE Hybrid Transformer |
| License | Apache-2.0 |
| Tensor Type | BF16 |
| Release Date | April 24th, 2024 |
What is snowflake-arctic-base?
Snowflake Arctic Base is an innovative language model that combines dense transformer architecture with Mixture of Experts (MoE) technology. It features a 10B dense transformer model integrated with a residual 128x3.66B MoE MLP, resulting in 482B total parameters while maintaining efficiency with only 17B active parameters during operation.
Implementation Details
The model leverages advanced features from DeepSpeed and requires version 4.39 or higher of the transformers library. It utilizes BF16 precision and supports both FP8 and FP6 quantization options for optimal performance.
- Hybrid architecture combining dense and sparse components
- Top-2 gating mechanism for expert selection
- Custom code implementation with transformers library
- DeepSpeed integration for efficient inference
Core Capabilities
- Text and code generation
- Enterprise-focused AI applications
- Efficient parameter utilization through MoE architecture
- Scalable deployment on high-performance hardware
Frequently Asked Questions
Q: What makes this model unique?
The model's hybrid architecture combining dense transformers with MoE allows it to achieve impressive performance while maintaining efficiency through selective parameter activation. This makes it particularly suitable for enterprise applications requiring both power and efficiency.
Q: What are the recommended use cases?
The model is optimized for enterprise AI applications, particularly text and code generation tasks. It's designed to run on high-performance hardware, with recommended deployment on 8xH100 GPU instances from major cloud providers.
