What coding llm is the best?

This page summarizes the projects mentioned and recommended in the original post on /r/LocalLLaMA

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  • supercharger

    Supercharge Open-Source AI Models

  • I have personally had the best success with a fine tuning Georgia Tech did of Starcoder with an instruction dataset (https://huggingface.co/GeorgiaTechResearchInstitute/starcoder-gpteacher-code-instruct) being run in Supercharger (https://github.com/catid/supercharger). Starcoder itself isn't instruction tuned, and I have found to be very fiddly with prompts. Starcoder I feel takes it to the next level with iterative coding. Supercharger has the model build unit tests, and then uses the unit test to score the code it generated, debug/improve the code based off of the unit test quality score, and then run it all in a loop until it reaches a minimum quality score.

  • GPTQ-for-SantaCoder

    4 bits quantization of SantaCoder using GPTQ

  • This is on my list of projects to explore but haven't made it here yet: https://github.com/mayank31398/GPTQ-for-SantaCoder

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • starcoder.cpp

    C++ implementation for šŸ’«StarCoder

  • I'm talking about https://github.com/bigcode-project/starcoder.cpp/tree/main specifically. It is just a command line utility which is why I was wondering if anyone knows of a better way of running it.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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