LongChat-13B-16k
| Property | Value |
|---|---|
| Base Model | LLaMA-13B |
| Training Data | 18K ShareGPT conversations |
| Context Length | 16,384 tokens |
| Release Date | June 2023 |
| Framework | PyTorch |
What is longchat-13b-16k?
LongChat-13B-16k is an advanced open-source chatbot developed by researchers at LMSYS. It's built upon the LLaMA-13B architecture and has been fine-tuned using a dataset of 18,000 conversations from ShareGPT. What sets this model apart is its implementation of condensing rotary embedding technique, enabling it to handle significantly longer context windows of up to 16,384 tokens.
Implementation Details
The model leverages specialized training techniques for handling extended context lengths. It requires specific loading procedures through either the FastChat or LongChat repositories, including necessary monkey patches for proper functionality.
- Built on LLaMA-13B architecture
- Implements condensing rotary embedding for extended context
- Requires custom loading through FastChat or LongChat repos
- Fine-tuned on carefully curated ShareGPT conversations
Core Capabilities
- Extended context handling up to 16k tokens
- Research-focused text generation
- Enhanced conversation comprehension
- Suitable for long-form content analysis
Frequently Asked Questions
Q: What makes this model unique?
The model's primary uniqueness lies in its ability to handle extremely long contexts (16k tokens) through innovative condensing rotary embedding techniques, while maintaining the robust capabilities of the LLaMA architecture.
Q: What are the recommended use cases?
The model is primarily intended for research purposes in natural language processing, machine learning, and artificial intelligence. It's particularly useful for tasks requiring long context understanding and academic research applications.
