Smallcloudai

Models by this creator

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Refact-1_6B-fim

smallcloudai

Total Score

122

The Refact-1_6B-fim model is a 1.6B parameter AI model developed by smallcloudai that has been fine-tuned for code completion and understanding. It outperforms other models like Replit 3b, Stability Code 3b, and even nearly beats the much larger 15B parameter StarCoder model on the HumanEval benchmark. This model is particularly strong for practical use in an IDE for code completion due to its intelligence and speed. The model also works well as a chat assistant, beating specialized chat models like StableCode-instruct and OctoGeeX on instruction following tasks. It demonstrates strong multi-language capabilities, handling over 20 programming languages including Python, Java, JavaScript, and more. Model inputs and outputs Inputs Text prompts for code completion or chat interactions Outputs Completed or generated code snippets Responses to chat prompts Capabilities The Refact-1_6B-fim model excels at code completion and understanding tasks, beating out larger models on benchmarks like HumanEval. It can handle a wide range of programming languages and also works well as a general chat assistant, demonstrating strong language skills. The model is optimized for speed and efficiency, making it a practical choice for use in an IDE or other real-time applications. What can I use it for? The Refact-1_6B-fim model is well-suited for integration into IDEs and other developer tools to provide intelligent, fast code completion. Developers can use it to boost their productivity and output. The model's chat capabilities also make it useful for building AI assistants that can engage in open-ended conversations. The Refact plugin allows you to start using the Refact-1_6B-fim model right away, and you can also host the model yourself using the open source docker container. Things to try Try using the Refact-1_6B-fim model to complete code snippets in your IDE and see how it performs compared to other models or your own abilities. You can also experiment with the model's chat capabilities, prompting it with a variety of topics and tasks to see the breadth of its language understanding and generation skills.

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Updated 5/28/2024