ggml-org/llama.cpp

Study how LM Evaluation Harness works and try to implement it

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#231 建立於 2023年3月17日

 (10 則留言) (9 個反應) (0 位負責人)C++ (22,115 個分叉)batch import
enhancementgeneration qualityhelp wantedhigh priorityresearch 🔬

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Update 10 Apr 2024: https://github.com/ggerganov/llama.cpp/issues/231#issuecomment-2047759312


It would be great to start doing this kind of quantitative analysis of ggml-based inference:

https://bellard.org/ts_server/

It looks like Fabrice evaluates the models using something called LM Evaluation Harness:

https://github.com/EleutherAI/lm-evaluation-harness

I have no idea what this is yet, but would be nice to study it and try to integrate it here and in other ggml-based projects. This will be very important step needed to estimate the quality of the generated output and see if we are on the right track.

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