Faster perplexity computation #2786
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ggerganov
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Aug 25, 2023
mattgauf
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* master: (773 commits) server : add `/detokenize` endpoint (ggerganov#2802) convert.py : advanced option (ggerganov#2753) llama : use Unicode Escape Sequence to replace encoded characters (ggerganov#2814) flake.nix : add rocm support and cleanup (ggerganov#2808) llama : move #includes out of _GNU_SOURCE conditional (ggerganov#2817) main : fix bug (penalize_nl=false doesn't work) + suppress warning on mingw (ggerganov#1528) llama : use std::abs in llama_sample_tail_free (ggerganov#2800) k-quants : remove unnecessary tensor shape restrictions (ggerganov#2811) Better perplexity for 2- and 3-bit quantization for LLaMA-v2-70B (ggerganov#2807) Fix HellaSwag (ggerganov#2805) flake : build llama.cpp on Intel with nix (ggerganov#2795) Handle null rope scaling value (ggerganov#2793) Fix spm whitespaces (ggerganov#2806) examples : skip unnecessary external lib in server README.md how-to (ggerganov#2804) llama : fix struct decl (ggerganov#2790) Faster perplexity computation (ggerganov#2786) llama : add llama_beam_search() (ggerganov#2267) convert.py : Get rope scale from HuggingFace models (ggerganov#2772) llama-bench : add model sizes (ggerganov#2771) convert.py : export rope freq_base when converting CodeLlama from an HF model (ggerganov#2773) ...
akawrykow
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Aug 29, 2023
Co-authored-by: Iwan Kawrakow <[email protected]>
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Time to compute 7B perplexity with 512 context of Wikitext on an RTX-4080 goes from 143 seconds to 128 seconds. I guess, not a big deal for most people, but a nice speedup for someone like me who runs lots of perplexity calculations while trying different quantization techniques.
Also added output of the statistical uncertainty of the computed perplexity. With
--ppl-output-type 1the perplexity tool now outputs 4 columns, which are number of evaluated tokens, perplexity, average negative log probability and its uncertainty.