XGen-7B-8K-Inst

XGen-7B-8K-Inst is a large language model developed by Salesforce AI Research, designed for long sequence modeling tasks. This 7 billion parameter model can process input sequences of up to 8,000 tokens, making it particularly useful for applications requiring analysis and generation of extended text passages.

Key features:
- Long Sequence Modeling: Capable of handling input sequences of up to 8,000 tokens for tasks requiring inference over long contexts.
- Instruction-Finetuned: Enhanced with public domain instructional data to generate helpful and detailed responses.
- Auto-Regressive Sampling: Generates text based on input prompts.
- Tokenization: Utilizes the OpenAI Tiktoken library for efficient text processing.
- Transformers Library Integration: Compatible with Hugging Face Transformers for seamless use with other models and tools.

How it works:
1. Install the OpenAI Tiktoken library via pip.
2. Load the model using the Hugging Face Transformers library.
3. Prepare input prompts and tokenize them using the Tiktoken library.
4. Use the model to generate text based on the input prompts.

Integrations:
Hugging Face Transformers library

Use of AI:
XGen-7B-8K-Inst employs generative AI to produce text based on input prompts through auto-regressive sampling. The model predicts each subsequent token in a sequence by considering the preceding tokens.

AI foundation model:
XGen-7B-8K-Inst is built on the XGen architecture, a series of large language models developed by Salesforce AI Research. The model is trained on a dataset of up to 1.5 trillion tokens, enabling it to learn complex language patterns and relationships.

Target users:
- Researchers working on long sequence modeling tasks
- Developers building applications for text summarization, question answering, and chatbots

How to access:
The XGen-7B-8K-Inst model is available as a research release and can be accessed through the Hugging Face model hub.

Open Source Status:
XGen-7B-8K-Inst is open-sourced under the Apache-2.0 license, permitting free use and modification for both research and commercial purposes.