In TPU instances, `vars.sp.shape[0]` is not always the actual number of
tokens in the soft prompt. We have to use `vars.sp_length` to get an
accurate token count.
Breakmodel is useless on Colab, so for the sake of efficiency if --colab is present we will always assume a model is incompatible. The same applies to the conversion, colab's are discarded so converting the model to a .bin file only wastes time since the HDD isn't fast. Finally we automatically set all the useful variables for Colab, so that in the future this can be removed from ckds and other scripts.
Lastly ckds has been adapted not to copy the examples folder and to add the new --colab parameter.
Local players are much better off running the old --remote command.
No longer update the chatname outside of the config, this will not effect singleplayer tab at all, but it will allow people in multiplayer to chat with their own names.
To prevent confusion with users who have not used KoboldAI for a while, or who are following old tutorials I have added a disclaimer that informs people that most Colab links should not be used with this feature and instead opened in the browser.
The problem was that when a soft prompt is being used, the dynamic
scanning criteria searches a different set of tokens for world info
keys than the `_generate()` function, which results in generation loops
when a world info key appears in the former set of tokens but not the
latter.
The `dynamic_processor_wrap` makes it so that the repetition penalty is
read directly from `vars`, but this only works if the initial repetition
sent to `generator` is not equal to 1. So we are now forcing the initial
repetition penalty to be something other than 1.
This commit exposes antemplates to the model config, this lets authors specify what kind of authors notes template they would like to use for their model. Users can still change it if they desire.
Blank lines appear often in chatmode so it is best played with blank line removal turned on, this is now forced. Its not compatible with Adventure mode, so they now turn each other off.
Added more models in the menu, all the popular community models are now easily accessible. I also re-ordered the menu from large to small to have it make a bit more sense.
* Error messages are now shown when memory, author's note, etc. exceeds
budget by itself
* Formatting options no longer break if there are empty chunks in the
story (although there shouldn't be any in the first place)
* Number of generated tokens is now kept track of from Python
* Removed `vars.model_orig`
* `requirex()` in bridge.lua now maintains a separate module cache for each
userscript instead of using the same cache for all userscripts
* `vars.lua_deleted` and `vars.lua_edited` are now erased right before running
the input modifiers instead of right before each time the generation modifiers
are run
The Initial commit for Chat Mode, the nickname part of the UI is missing other than that it should be fully functional. To use Chat Mode effectively you first input a small dialogue (Can be around 6 lines 3 of your own inputs and 3 of the character) formatted as Name : it will then automate the actions needed to chat properly. During this mode single line mode is forced on, and Trim Incomplete Sentences is forced off.
Futureproofing for future tokenizers, for now this is not needed since everything uses GPT2. But when that changes we want to be prepared. Not all models have a proper tokenizer config, so if we can't find one we fall back to GPT2.
First batch, will be more, we will also need to update the other VRAM display's with the changes that have happened. Will happen depending on how the 8-bit stuff goes.
NeoCustom is now obsolete beyond the file selection and the CLI. So after the CLI we adapt the input to a generic model and then use the improved generic routine to handle it. This saves duplicate efforts of maintaining an almost identical routine now that models are handled by their type and not their name.
This fixes a few scenario's of my commit yesterday, models that have a / are now first loaded from the corrected directory if it exists before we fall back to its original name to make sure it loads the config from the correct location. Cache dir fixes and a improved routine for the path loaded models that mimics the NeoCustom option fixing models that have no model_type specified. Because GPT2 doesn't work well with this option and should exclusively be used with the GPT2Custom and GPT-J models should have a model_type we assume its a Neo model when not specified.
ebolam
Gnome Ann
Ben Fox
henk717