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stable-code-instruct-3b

Maintainer: stabilityai

Total Score

153

Last updated 5/17/2024

🌀

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model Overview

stable-code-instruct-3b is a 2.7 billion parameter decoder-only language model tuned from the [object Object] model. This model was trained on a mix of publicly available datasets and synthetic datasets using Direct Preference Optimization (DPO). The model demonstrates state-of-the-art performance on the MultiPL-E metrics across multiple programming languages tested using BigCode's Evaluation Harness, and on the code portions of MT Bench.

This instruct-tuned model is optimized for general purpose code and software engineering tasks, as well as SQL-related generation and conversation. It outperforms similar-sized models on a range of programming-focused benchmarks.

Model Inputs and Outputs

Inputs

  • Text prompts for code generation, including instructions, software requirements, or other context

Outputs

  • Generated code snippets or complete programs in a variety of programming languages
  • Responses to prompts related to software engineering tasks, such as answering questions or providing explanations

Capabilities

stable-code-instruct-3b is capable of generating high-quality code in multiple programming languages, including Python, C++, JavaScript, Java, and PHP. It can assist with a wide range of software engineering tasks, such as writing functions, implementing algorithms, and solving coding challenges. The model also demonstrates strong conversational abilities, allowing users to engage in back-and-forth dialogues about code-related topics.

What Can I Use It For?

You can use stable-code-instruct-3b to aid in your software development workflows. Some potential use cases include:

  • Generating starter code for new projects or features
  • Assisting with debugging and troubleshooting by explaining code or suggesting fixes
  • Automating repetitive coding tasks, such as boilerplate generation
  • Enhancing productivity by allowing you to explore and validate ideas through interactive prompts

When using the model commercially, please refer to https://stability.ai/membership for licensing information.

Things to Try

One interesting capability of stable-code-instruct-3b is its ability to handle "Fill in the Middle" (FIM) prompts, where the model is tasked with generating the middle portion of a code snippet while the beginning and end are provided. This can be a useful feature when exploring different approaches to a problem or when trying to understand how a specific algorithm or data structure might be implemented.

Another interesting aspect of the model is its strong performance on SQL-related tasks. You can try prompting the model with database schema information or SQL queries and see how it responds, potentially generating new queries or suggesting optimizations.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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