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Add details on dataset/context length

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Gary Linscott 2023-03-22 08:48:36 -07:00 • committed by GitHub
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@ -250,6 +250,9 @@ see https://huggingface.co/docs/transformers/perplexity. However, in general, l
https://github.com/ggerganov/llama.cpp/pull/270 is the unofficial tracking page for now. llama.cpp is measuring very well
compared to the baseline implementations. Quantization has a small negative impact to quality, but, as you can see, running
13B at q4_0 beats the 7B f16 model by a significant amount.
All measurements are done against wikitext2 test dataset (https://paperswithcode.com/dataset/wikitext-2), with default options (512 length context).
Note that the changing the context length will have a significant impact on perplexity (longer context = better perplexity).
```
Perplexity - model options
5.5985 - 13B, q4_0