koboldcpp-1.39.1

• Fix SSE streaming to handle headers correctly during abort (Credits: @duncannah)
• Bugfix for --blasbatchsize -1 and 1024 (fix alloc blocks error)
• Added experimental support for --blasbatchsize 2048 (note, buffers are doubled if that is selected, using much more memory)
• Added support for 12k and 16k --contextsize options. Please let me know if you encounter issues.
• Pulled upstream improvements, further CUDA speedups for MMQ mode for all quant types.
• Fix for some LLAMA 65B models being detected as LLAMA2 70B models.
• Revert to upstream approach for CUDA pool malloc (1.39.1 - done only for MMQ).
• Updated Lite, includes adding support for importing Tavern V2 card formats, with world info (character book) and clearer settings edit boxes.

To use, download and run the koboldcpp.exe, which is a one-file pyinstaller. If you don't need CUDA, you can use koboldcpp_nocuda.exe which is much smaller.

Run it from the command line with the desired launch parameters (see --help), or manually select the model in the GUI. and then once loaded, you can connect like this (or use the full koboldai client): http://localhost:5001

For more information, be sure to run the program from command line with the --help flag.