Backend updates

• Transformers: bump to 4.43 (adds Llama 3.1 support).
• ExLlamaV2: bump to 0.1.8 (adds Llama 3.1 support).
• AutoAWQ: bump to 0.2.6 (adds Llama 3.1 support).
  • Remove AutoAWQ as a standalone loader. I found that hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4 works better when loaded directly through Transformers, and that's what the README recommends. AutoAWQ is still used in the background.

UI updates

• Make text between quote characters colored in chat and chat-instruct modes.
• Prevent LaTeX from being rendered for inline "$", as that caused problems for phrases like "apples cost $1, oranges cost $2".
• Make the markdown cache infinite and clear it when switching to another chat. This cache exists because the markdown conversion is CPU-intensive. By making it infinite, messages in a full 128k context will be cached, making the UI more responsive for long conversations.

Bug fixes

• Fix a race condition that caused the default character to not be loaded correctly on startup.
• Fix Linux shebangs (#6110). Thanks @LuNeder.

Other changes

• Make the Google Colab notebook use the one-click installer instead of its own Python environment for better stability.
• Disable flash-attention on Google Colab by default, as its GPU models do not support it.