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