StableLM-Base-Alpha-3B
| Property | Value |
|---|---|
| Parameter Count | 3 Billion |
| Architecture | GPT-NeoX |
| Context Length | 4096 tokens |
| Hidden Size | 4096 |
| License | CC BY-SA-4.0 |
What is stablelm-base-alpha-3b?
StableLM-Base-Alpha-3B is a decoder-only language model developed by Stability AI, designed to push the boundaries of context window limitations in open-source language models. Built on the NeoX transformer architecture, this model features a 4096-token context window and has been trained on approximately 1.5T tokens, making it significantly more extensive than traditional models based on The Pile dataset.
Implementation Details
The model architecture consists of 16 layers with 32 attention heads, utilizing a hidden size of 4096. It was trained using mixed-precision (FP16) and optimized with Adam optimizer. The model employs the NeoX tokenizer with a vocabulary size of 50,257.
- Pre-trained on a dataset 3x larger than The Pile
- Supports both English text and code generation
- Implements efficient attention mechanisms for long-context processing
- Uses mixed-precision training for optimal performance
Core Capabilities
- Long-form text generation with 4096 token context window
- Code generation and processing
- Efficient processing of large text sequences
- Foundation model capabilities suitable for fine-tuning
Frequently Asked Questions
Q: What makes this model unique?
The model's distinguishing features include its extensive training on a 1.5T token dataset, large context window of 4096 tokens, and its application of the GPT-NeoX architecture for efficient processing.
Q: What are the recommended use cases?
The model is designed for use as a foundational model for application-specific fine-tuning, particularly in commercial applications. It excels in text generation tasks and code-related applications, though users should be aware of potential limitations regarding content appropriateness.
