-
Hey Guys,
This is a great library, but I have a question. Is this library is able to use memory as efficiently as the Llama.cpp library? In otherwords, if I'm using a checkpoint that I use with Llama…
-
Generally, we are unaware of HTTomo's RAM usage, but it's likely that it is quite high, and probably unnecessarily so at times.
For example, in one case there's been the possibility of a Hamilton n…
-
At the moment, there exist many methods that use repeated/semantically similar syntax to wrangle/reduce/pivot dataframes into copies with required data.
These are methods such as `reduce_df`, `catego…
-
We have XDMoD panels for cpu efficiency, let's add a panel for memory efficiency as well. This may change the layout and indeed even explode the options (i.e., you don't want all 4 panels only 2 etc.…
-
## Core problem
Currently, grapher consumes a lot of memory for large datasets - especially (daily) Covid data.
This is not great either way, but it also means that our CF Worker for thumbnail rende…
-
https://github.com/borisblagov/Julia_AR4_Bayesian_Regression/blob/9e5aa1749f4b0afb59a645c1f0696e85935e1d04/src/NewB.jl#L12-L16
This is quite wasteful in terms of memory for two reasons:
1. `X = [X…
-
This issue covers memory efficiency of the code in general.
-
The algorithm can still be improved. Currently, for each factor update we create an array with the original size and perform the multiplications. However, we could do two alternative things:
1. Rem…
-
1. Limit the creation of group_by dataframes. There are cases where the group indices are sufficient, e.g. for the summarise verbs. This may be possible for all verbs that cannot nest other verb opera…
-
Currently this information not available in the single request we do for the jobs widget. However, we only display 10 jobs at a time in that widget, so in the short term we could do 10 requests to XDM…