StableLM Base Alpha 7B
| Property | Value |
|---|---|
| Parameter Count | 7 Billion |
| Architecture | GPT-NeoX |
| Context Length | 4096 tokens |
| Hidden Size | 6144 |
| License | CC BY-SA-4.0 |
What is stablelm-base-alpha-7b?
StableLM Base Alpha 7B is a sophisticated decoder-only language model developed by Stability AI. It represents a significant advancement in open-source language modeling, featuring an extended context window of 4096 tokens and training on approximately 1.5T tokens. This model is designed as a foundation for various NLP applications, particularly excelling in text generation tasks.
Implementation Details
The model is built on the NeoX transformer architecture and implements 16 layers with 48 attention heads. It uses a vocabulary size of 50,257 and was trained using mixed-precision (FP16) with Adam optimizer. The model can be easily integrated using the Transformers library and supports both CPU and GPU inference.
- 6144 hidden size dimensionality
- 16 transformer layers
- 48 attention heads
- 4096 sequence length capability
- Mixed-precision training optimization
Core Capabilities
- Long-context understanding with 4096 token window
- Versatile text generation and completion
- Foundation model capabilities for fine-tuning
- Efficient processing of large-scale language tasks
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its extended context window of 4096 tokens and its training on a dataset three times larger than The Pile, enabling superior context understanding and generation capabilities.
Q: What are the recommended use cases?
The model is ideal for foundational text generation tasks and can be fine-tuned for specific applications. However, users should be cautious about potential biases and avoid applications that could cause harm or distress.
