replit-code

Discover Replit's replit-code-v1-3b, a powerful 2.7B Causal Language Model dedicated to code completion available on Hugging Face's model hub. This groundbreaking model is trained on a diverse mix of 20 programming languages and boasts advanced features like Flash Attention and AliBi positional embeddings to ensure speed and accuracy. Ideal for developers seeking to fine-tune the model for various applications without commercial restrictions, replit-code-v1-3b comes with a comprehensive guide for usage and is bound by a CC BY-SA 4.0 license. Join the journey to democratize AI with this open-source tool that boasts 710 likes and community support for any questions.

Key Features

• Model Specifications: 2.7B Causal Language Model focusing on 20 programming languages for code completion.

• Intended Use: Open for anyone to use as a foundational model for application-specific fine-tuning with minimal commercial restrictions.

• Advanced LLM Techniques: Incorporates Flash Attention, AliBi positional embeddings, LionW optimizer, etc.

• User-Friendly Guides: Detailed instructions on installation, usage, tokenization, and generation provided for users.

• License and Credit: Model and vocabulary are licensed under CC BY-SA 4.0, ensuring users give credit, share alike, and note any modifications.

FAQ

What is replit-code-v1-3b?

Replit-code-v1-3b is a large causal language model with 2.7B parameters designed for code completion, supporting a wide range of programming languages.

What dataset is replit-code-v1-3b trained on and what languages does it support?

The model is trained on the Stack Dedup v1.2 dataset and includes languages such as Java, Python, JavaScript, C++, and many more.

Can replit-code-v1-3b be used for commercial purposes?

Yes, Replit intends for this model to be used as a foundational model for application-specific fine-tuning without strict limitations on commercial use.

What is the licensing for the replit-code-v1-3b model?

The model checkpoint and vocabulary file are licensed under the Creative Commons license (CC BY-SA-4.0). Source code files are under the Apache 2.0 license.

What dependencies are required to use replit-code-v1-3b?

You need to install einops, sentencepiece, torch, and transformers libraries to use the model. The setup guide provides detailed steps.