Average Model Cost: $0.0046
Number of Runs: 48,196
Models by this creator
replit-code-v1-3b is a large-scale language model focused on code completion. It has been trained on a subset of the Stack Dedup dataset, using 20 different programming languages. The model has been trained on a total of 175 billion tokens and utilizes state-of-the-art techniques such as Flash Attention for fast training and inference. Replit intends for this model to be used as a foundational model for fine-tuning in application-specific use cases, with no strict limitations on commercial use. However, users should exercise caution as the pre-training dataset may contain offensive or inappropriate content. The model checkpoint and vocabulary file are licensed under the Creative Commons license, while the source code files are licensed under the Apache 2.0 license. The model can be loaded and used using the provided dependencies and instructions. A custom SentencePiece tokenizer optimized for code is also available for use with the model. Post-processing of generated code is recommended.
replit-code-v1-3b is a large language model developed by Replit that is capable of generating code. It is designed to help developers by providing code snippets, solving programming challenges, and generating code based on given descriptions or prompts. This model leverages its understanding of programming languages and syntax to generate accurate and usable code. It can assist programmers in automating repetitive tasks, suggesting best practices, and aiding in the development process.