Text Generation Web UI releases

Changes

• Redesigned chat composer: Taller input area with the paperclip and message-action buttons pinned to the bottom, similar to Gemini and DeepSeek.
• Smooth scroll animation when sending a new message: Inspired by Gemini's chat UI.
• Electron improvements:
  • Persist window bounds and maximize state across launches.
  • Add a --no-electron flag to skip the desktop window and use the web UI in the browser instead.
  • Disable spellcheck in the chat input.
• API: Add support for list-format content in tool and assistant messages.
• Add more space below the last chat/chat-instruct message so its action buttons have breathing room.

Bug fixes

• Fix speculative decoding broken by upstream llama.cpp arg renames (#7541).
• Fix truncation length reverting after model load on UI reload (#7540).
• Don't clear the chat input when sending a message with no model loaded (#7542).
• Electron:
  • Fix big character picture failing to load (#7540).
  • Fix --listen mode in the launcher.
  • Fix missing log colors on Windows.

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/68380ae11b564af67196afc70f10c99dbb532fa9
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/9a26522af234f8db079ae3735f35ab6c20fe2c66

Portable builds

TextGen is now a desktop app for local LLMs. Download, unzip, double-click.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (891 MB) | Download (1.23 GB) |
| NVIDIA (CUDA 13.1) | Download (817 MB) | Download (1.33 GB) |
| AMD/Intel (Vulkan) | Download (336 MB) | — |
| AMD (ROCm 7.2) | Download (604 MB) | — |
| CPU only | Download (319 MB) | Download (334 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (848 MB) | Download (1.20 GB) |
| NVIDIA (CUDA 13.1) | Download (803 MB) | Download (1.33 GB) |
| AMD/Intel (Vulkan) | Download (324 MB) | — |
| AMD (ROCm 7.2) | Download (396 MB) | — |
| CPU only | Download (307 MB) | Download (334 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (271 MB) |
| Intel (x86_64) | Download (283 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

textgen-4.6/
textgen-4.7/
user_data/    <-- shared by both installs

Changes

• Native desktop app: Portable builds now bundle Electron and open as a native window. Run textgen / textgen.bat instead of the previous start scripts. Pass --listen or --nowebui to skip the window and run the server directly.
• Major UI overhaul:
  • Replace Noto Sans with Inter as the default font.
  • Replace emoji refresh/save/delete buttons with Lucide SVG icons.
  • Turn the chat mode selector (chat / chat-instruct / instruct) into a 3-button segmented control.
  • Redesign the chat input as a single rounded card with a circular accent-colored send button.
  • Use a flat underline for the active tab indicator.
  • Replace the sidebar toggle buttons with 3px hairline handles on desktop.
• Tensor parallelism for llama.cpp: New --split-mode flag (replacing --row-split) with a tensor option that can make multi-GPU inference 60%+ faster. On the ik_llama.cpp backend, tensor and row fall back to graph.
• Replace DuckDuckGo HTML scraping in the web search tool with the ddgs library, which is more robust against DuckDuckGo's bot blocking.
• Add support for standalone .jinja/.jinja2 instruction template files in the UI, in addition to the existing .yaml format (#7517).

Bug fixes

• Fix Stop button being ignored during tool call approval, and not interrupting between tool turns in multi-turn tool loops.
• Fix race condition in the ExLlamaV3 backend that could affect concurrent API requests.
• Fix extension settings not saving for extensions inside user_data/extensions (#7525).

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/09294365a9d7a2b786584d59525b034622c3ed81
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/9f1deefa7128889fd8a947964f04262bfa724b84
• Update transformers to 5.6

Portable builds

Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip/extract, and run.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (891 MB) | Download (1.23 GB) |
| NVIDIA (CUDA 13.1) | Download (816 MB) | Download (1.33 GB) |
| AMD/Intel (Vulkan) | Download (336 MB) | — |
| AMD (ROCm 7.2) | Download (604 MB) | — |
| CPU only | Download (318 MB) | Download (334 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (848 MB) | Download (1.20 GB) |
| NVIDIA (CUDA 13.1) | Download (803 MB) | Download (1.32 GB) |
| AMD/Intel (Vulkan) | Download (324 MB) | — |
| AMD (ROCm 7.2) | Download (395 MB) | — |
| CPU only | Download (306 MB) | Download (334 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (271 MB) |
| Intel (x86_64) | Download (283 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

textgen-4.6/
textgen-4.7/
user_data/    <-- shared by both installs

Changes

• Native desktop app: Portable builds now bundle Electron and open as a native window. Run textgen / textgen.bat instead of the previous start scripts. Pass --listen or --nowebui to skip the window and run the server directly.
• Major UI overhaul:
  • Replace Noto Sans with Inter as the default font.
  • Replace emoji refresh/save/delete buttons with Lucide SVG icons.
  • Turn the chat mode selector (chat / chat-instruct / instruct) into a 3-button segmented control.
  • Redesign the chat input as a single rounded card with a circular accent-colored send button.
  • Use a flat underline for the active tab indicator.
  • Replace the sidebar toggle buttons with 3px hairline handles on desktop.
• Tensor parallelism for llama.cpp: New --split-mode flag (replacing --row-split) with a tensor option that can make multi-GPU inference 60%+ faster. On the ik_llama.cpp backend, tensor and row fall back to graph.
• Replace DuckDuckGo HTML scraping in the web search tool with the ddgs library, which is more robust against DuckDuckGo's bot blocking.
• Add support for standalone .jinja/.jinja2 instruction template files in the UI, in addition to the existing .yaml format (#7517).

Bug fixes

• Fix Stop button being ignored during tool call approval, and not interrupting between tool turns in multi-turn tool loops.
• Fix race condition in the ExLlamaV3 backend that could affect concurrent API requests.
• Fix extension settings not saving for extensions inside user_data/extensions (#7525).

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/09294365a9d7a2b786584d59525b034622c3ed81
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/9f1deefa7128889fd8a947964f04262bfa724b84
• Update transformers to 5.6

Portable builds

Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip/extract, and run.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (891 MB) | Download (1.23 GB) |
| NVIDIA (CUDA 13.1) | Download (816 MB) | Download (1.33 GB) |
| AMD/Intel (Vulkan) | Download (336 MB) | — |
| AMD (ROCm 7.2) | Download (604 MB) | — |
| CPU only | Download (318 MB) | Download (334 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (848 MB) | Download (1.20 GB) |
| NVIDIA (CUDA 13.1) | Download (803 MB) | Download (1.32 GB) |
| AMD/Intel (Vulkan) | Download (324 MB) | — |
| AMD (ROCm 7.2) | Download (395 MB) | — |
| CPU only | Download (306 MB) | Download (334 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (271 MB) |
| Intel (x86_64) | Download (283 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

textgen-4.6/
textgen-4.7/
user_data/    <-- shared by both installs

Changes

• Native desktop app: Portable builds now bundle Electron and open as a native window. Run textgen / textgen.bat instead of the previous start scripts. Pass --listen or --nowebui to skip the window and run the server directly.
• Major UI overhaul:
  • Replace Noto Sans with Inter as the default font.
  • Replace emoji refresh/save/delete buttons with Lucide SVG icons.
  • Turn the chat mode selector (chat / chat-instruct / instruct) into a 3-button segmented control.
  • Redesign the chat input as a single rounded card with a circular accent-colored send button.
  • Use a flat underline for the active tab indicator.
  • Replace the sidebar toggle buttons with 3px hairline handles on desktop.
• Tensor parallelism for llama.cpp: New --split-mode flag (replacing --row-split) with a tensor option that can make multi-GPU inference 60%+ faster. On the ik_llama.cpp backend, tensor and row fall back to graph.
• Replace DuckDuckGo HTML scraping in the web search tool with the ddgs library, which is more robust against DuckDuckGo's bot blocking.
• Add support for standalone .jinja/.jinja2 instruction template files in the UI, in addition to the existing .yaml format (#7517).

Bug fixes

• Fix Stop button being ignored during tool call approval, and not interrupting between tool turns in multi-turn tool loops.
• Fix race condition in the ExLlamaV3 backend that could affect concurrent API requests.
• Fix extension settings not saving for extensions inside user_data/extensions (#7525).

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/09294365a9d7a2b786584d59525b034622c3ed81
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/9f1deefa7128889fd8a947964f04262bfa724b84
• Update transformers to 5.6

Portable builds

Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip/extract, and run.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (891 MB) | Download (1.23 GB) |
| NVIDIA (CUDA 13.1) | Download (816 MB) | Download (1.33 GB) |
| AMD/Intel (Vulkan) | Download (336 MB) | — |
| AMD (ROCm 7.2) | Download (604 MB) | — |
| CPU only | Download (318 MB) | Download (334 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (848 MB) | Download (1.20 GB) |
| NVIDIA (CUDA 13.1) | Download (803 MB) | Download (1.32 GB) |
| AMD/Intel (Vulkan) | Download (324 MB) | — |
| AMD (ROCm 7.2) | Download (395 MB) | — |
| CPU only | Download (306 MB) | Download (334 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (271 MB) |
| Intel (x86_64) | Download (283 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

textgen-4.6/
textgen-4.7/
user_data/    <-- shared by both installs

Updated to v4.7.1

https://github.com/oobabooga/textgen/releases/tag/v4.7.1

Changes

• Tool call confirmation: Add inline approve/reject/always-approve buttons that appear before each tool call is executed. Enable via the new "Confirm tool calls" checkbox in the Chat tab.
• Stdio MCP server support: In addition to HTTP MCP servers, you can now configure local subprocess-based MCP servers via user_data/mcp.json, using the same format as Claude Desktop and Cursor. [Tutorial]
• preserve_thinking chat template parameter: New UI checkbox and --preserve-thinking CLI flag to control whether thinking blocks from prior turns are kept in the context.
• UI: Sidebars overhaul: Sidebars now toggle independently and persist their state on page refresh. Default visibility adapts to viewport width.
• llama.cpp: Pass --draft-min 48 by default for draftless speculative decoding.
• Only show the "Reasoning effort" and "Enable thinking" controls for models whose chat template actually uses them.
• Cache MCP tool discovery to avoid re-querying servers on each generation.
• Add model download branch handling in download_model_wrapper (#7506). Thanks, @Th-Underscore.
• UI: Improve border colors in light theme, fix code block copy button colors and centering, fix code block scrollbar flash during page load, improve past chats menu spacing.

Security

• Fix SSRF vulnerabilities in URL fetching: add backslash and userinfo rejection, validate every redirect hop.

Bug fixes

• Fix Gemma 4 thinking tags not hidden after tool calls (#7509).
• Fix GPT-OSS channel tokens leaking in UI after tool calls.
• Fix Slider preprocess not handling None from cleared number input. 🆕 - v4.6.1.
• llama.cpp: Fix multimodal by using server's random media marker. 🆕 - v4.6.1.

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/6217b49583432f55014c2a0551f453d42b300530
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/286ce324baed17c95faec77792eaa6bdb1c7a5f5
• Update ExLlamaV3 to 0.0.30

Portable builds

Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip/extract, and run.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (766 MB) | Download (1.1 GB) |
| NVIDIA (CUDA 13.1) | Download (686 MB) | Download (1.19 GB) |
| AMD/Intel (Vulkan) | Download (196 MB) | — |
| AMD (ROCm 7.2) | Download (499 MB) | — |
| CPU only | Download (178 MB) | Download (194 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (747 MB) | Download (1.09 GB) |
| NVIDIA (CUDA 13.1) | Download (696 MB) | Download (1.21 GB) |
| AMD/Intel (Vulkan) | Download (208 MB) | — |
| AMD (ROCm 7.2) | Download (307 MB) | — |
| CPU only | Download (190 MB) | Download (217 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (156 MB) |
| Intel (x86_64) | Download (162 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

text-generation-webui-4.0/
text-generation-webui-4.1/
user_data/                    <-- shared by both installs

Changes

• Tool call confirmation: Add inline approve/reject/always-approve buttons that appear before each tool call is executed. Enable via the new "Confirm tool calls" checkbox in the Chat tab.
• Stdio MCP server support: In addition to HTTP MCP servers, you can now configure local subprocess-based MCP servers via user_data/mcp.json, using the same format as Claude Desktop and Cursor. [Tutorial]
• preserve_thinking chat template parameter: New UI checkbox and --preserve-thinking CLI flag to control whether thinking blocks from prior turns are kept in the context.
• UI: Sidebars overhaul: Sidebars now toggle independently and persist their state on page refresh. Default visibility adapts to viewport width.
• llama.cpp: Pass --draft-min 48 by default for draftless speculative decoding.
• Only show the "Reasoning effort" and "Enable thinking" controls for models whose chat template actually uses them.
• Cache MCP tool discovery to avoid re-querying servers on each generation.
• Add model download branch handling in download_model_wrapper (#7506). Thanks, @Th-Underscore.
• UI: Improve border colors in light theme, fix code block copy button colors and centering, fix code block scrollbar flash during page load, improve past chats menu spacing.
• Pre-load MCP stdio server tools at startup. 🆕 - v4.6.1.

Security

• Fix SSRF vulnerabilities in URL fetching: add backslash and userinfo rejection, validate every redirect hop.

Bug fixes

• Fix Gemma 4 thinking tags not hidden after tool calls (#7509).
• Fix GPT-OSS channel tokens leaking in UI after tool calls.
• Fix Slider preprocess not handling None from cleared number input. 🆕 - v4.6.1.
• llama.cpp: Fix multimodal by using server's random media marker. 🆕 - v4.6.1.

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/6217b49583432f55014c2a0551f453d42b300530
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/286ce324baed17c95faec77792eaa6bdb1c7a5f5
• Update ExLlamaV3 to 0.0.30

Portable builds

Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip/extract, and run.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (766 MB) | Download (1.1 GB) |
| NVIDIA (CUDA 13.1) | Download (686 MB) | Download (1.19 GB) |
| AMD/Intel (Vulkan) | Download (196 MB) | — |
| AMD (ROCm 7.2) | Download (499 MB) | — |
| CPU only | Download (178 MB) | Download (194 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (747 MB) | Download (1.09 GB) |
| NVIDIA (CUDA 13.1) | Download (696 MB) | Download (1.21 GB) |
| AMD/Intel (Vulkan) | Download (208 MB) | — |
| AMD (ROCm 7.2) | Download (307 MB) | — |
| CPU only | Download (190 MB) | Download (217 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (156 MB) |
| Intel (x86_64) | Download (162 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

text-generation-webui-4.0/
text-generation-webui-4.1/
user_data/                    <-- shared by both installs

Changes

• Tool call confirmation: Add inline approve/reject/always-approve buttons that appear before each tool call is executed. Enable via the new "Confirm tool calls" checkbox in the Chat tab.
• Stdio MCP server support: In addition to HTTP MCP servers, you can now configure local subprocess-based MCP servers via user_data/mcp.json, using the same format as Claude Desktop and Cursor. [Tutorial]
• preserve_thinking chat template parameter: New UI checkbox and --preserve-thinking CLI flag to control whether thinking blocks from prior turns are kept in the context.
• UI: Sidebars overhaul: Sidebars now toggle independently and persist their state on page refresh. Default visibility adapts to viewport width.
• llama.cpp: Pass --draft-min 48 by default for draftless speculative decoding.
• Only show the "Reasoning effort" and "Enable thinking" controls for models whose chat template actually uses them.
• Cache MCP tool discovery to avoid re-querying servers on each generation.
• Add model download branch handling in download_model_wrapper (#7506). Thanks, @Th-Underscore.
• UI: Improve border colors in light theme, fix code block copy button colors and centering, fix code block scrollbar flash during page load, improve past chats menu spacing.

Security

• Fix SSRF vulnerabilities in URL fetching: add backslash and userinfo rejection, validate every redirect hop.

Bug fixes

• Fix Gemma 4 thinking tags not hidden after tool calls (#7509).
• Fix GPT-OSS channel tokens leaking in UI after tool calls.

Dependency updates

• Update llama.cpp to https://github.com/ggml-org/llama.cpp/commit/6217b49583432f55014c2a0551f453d42b300530
• Update ik_llama.cpp to https://github.com/ikawrakow/ik_llama.cpp/commit/286ce324baed17c95faec77792eaa6bdb1c7a5f5
• Update ExLlamaV3 to 0.0.30

Portable builds

Below you can find self-contained packages that work with GGUF models (llama.cpp) and require no installation! Just download the right version for your system, unzip/extract, and run.

[!NOTE]
NVIDIA GPU: If nvidia-smi reports CUDA Version >= 13.1, use the cuda13.1 build. Otherwise, use cuda12.4.

ik_llama.cpp is a llama.cpp fork with new quant types. If unsure, use the llama.cpp column.

Windows

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (766 MB) | Download (1.1 GB) |
| NVIDIA (CUDA 13.1) | Download (686 MB) | Download (1.19 GB) |
| AMD/Intel (Vulkan) | Download (196 MB) | — |
| AMD (ROCm 7.2) | Download (499 MB) | — |
| CPU only | Download (178 MB) | Download (194 MB) |

Linux

| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (747 MB) | Download (1.09 GB) |
| NVIDIA (CUDA 13.1) | Download (696 MB) | Download (1.21 GB) |
| AMD/Intel (Vulkan) | Download (208 MB) | — |
| AMD (ROCm 7.2) | Download (307 MB) | — |
| CPU only | Download (190 MB) | Download (217 MB) |

macOS

| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (156 MB) |
| Intel (x86_64) | Download (162 MB) |

Updating a portable install:

1. Download and extract the latest version.
2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.

Starting with 4.0, you can also move user_data one folder up, next to the install folder. It will be detected automatically, making updates easier:

text-generation-webui-4.0/
text-generation-webui-4.1/
user_data/                    <-- shared by both installs