- Should now support Mixtral, with updated AutoGPTQ 0.6 and llama-cpp-python 0.2.23
- Updated PyTorch to 2.1.1
- Container will now launch text-generation-webui with arg
--extensions openai - Logs from text-generation-webui will now appear in the Runpod log viewer, as well as
/workspace/logs/text-generation-webui.log
- The instances now use CUDA 12.1.1, which fixes issues with EXL2
- Note that for now the main container is still called cuda11.8.0-ubuntu22.04-oneclick
- This is because I need to get in touch with Runpod to update the name of the container used in their instances
- This is just a naming issue; the container does now use CUDA 12.1.1 and EXL2 is confirmed to work again.
- Llama 2 models, including Llama 2 70B, are now fully supported
- Updated to latest text-generation-webui
requirements.txt - Removed the exllama pip package installed by text-generation-webui
- Therefore the ExLlama kernel will build automatically on first use
- This ensures that ExLlama is always up-to-date with any new ExLlama commits (which are pulled automatically on each boot)
- Added simple build script for building the Docker containers
- Updated to latest ExLlama code, fixing issue with SuperHOT GPTQs
- ExLlama now automaticaly updates on boot, like text-generation-webui already did
- This should result in the template automatically supporting new ExLlama features in future
- Major update to the template
- text-generation-webui is now integrated with:
- AutoGPTQ with support for all Runpod GPU types
- ExLlama, turbo-charged Llama GPTQ engine - performs 2x faster than AutoGPTQ (Llama 4bit GPTQs only)
- CUDA-accelerated GGML support, with support for all Runpod systems and GPUs.
- All text-generation-webui extensions are included and supported (Chat, SuperBooga, Whisper, etc).
- text-generation-webui is always up-to-date with the latest code and features.
- Automatic model download and loading via environment variable
MODEL. - Pass text-generation-webui parameters via environment variable
UI_ARGS.