XGen-7B-8K-Base
| Property | Value |
|---|---|
| Model Size | 7B parameters |
| License | Apache-2.0 |
| Research Paper | Link |
| Maximum Sequence Length | 8K tokens |
What is xgen-7b-8k-base?
XGen-7B-8K-Base is a large language model developed by Salesforce AI Research, specifically designed to handle long sequences up to 8,000 tokens. It represents a significant advancement in handling extended context windows, making it particularly suitable for tasks requiring processing of lengthy documents or conversations.
Implementation Details
The model utilizes the OpenAI Tiktoken library for tokenization and is implemented using PyTorch. It can be easily deployed using the Hugging Face Transformers library, supporting both inference endpoints and text generation tasks.
- Built on transformer architecture optimized for 8K sequence lengths
- Implements bfloat16 precision for efficient inference
- Requires Tiktoken installation for tokenization
Core Capabilities
- Long-form text generation with 8K context window
- Auto-regressive text completion
- Efficient processing of extended sequences
- Research-focused applications
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its ability to handle 8K token sequences while maintaining a relatively compact 7B parameter size, making it more accessible than larger models while still offering extended context processing capabilities.
Q: What are the recommended use cases?
The model is particularly well-suited for research applications requiring long context windows, document analysis, and extended text generation tasks. It's designed for both academic research and development purposes under the Apache-2.0 license.
