Download Latest Version textgen-portable-3.9.1-macos-x86_64.zip (164.8 MB)
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Home / v3.9
Name Modified Size InfoDownloads / Week
Parent folder
textgen-portable-3.9-windows-cuda12.4.zip 2025-08-06 833.6 MB
textgen-portable-3.9-windows-cuda11.7.zip 2025-08-06 722.1 MB
textgen-portable-3.9-windows-vulkan.zip 2025-08-06 202.5 MB
textgen-portable-3.9-windows-cpu.zip 2025-08-06 193.5 MB
textgen-portable-3.9-linux-cuda11.7.zip 2025-08-06 766.6 MB
textgen-portable-3.9-linux-cuda12.4.zip 2025-08-06 838.5 MB
textgen-portable-3.9-macos-x86_64.zip 2025-08-06 164.8 MB
textgen-portable-3.9-linux-vulkan.zip 2025-08-06 240.6 MB
textgen-portable-3.9-linux-cpu.zip 2025-08-06 231.5 MB
textgen-portable-3.9-macos-arm64.zip 2025-08-06 176.5 MB
README.md 2025-08-06 1.8 kB
v3.9 source code.tar.gz 2025-08-06 24.9 MB
v3.9 source code.zip 2025-08-06 25.0 MB
Totals: 13 Items   4.4 GB 2

Experimental GPT-OSS support!

I have obtained some success with the GGUF models under

https://huggingface.co/ggml-org/gpt-oss-20b-GGUF/tree/main https://huggingface.co/ggml-org/gpt-oss-120b-GGUF/tree/main

It may be necessary to re-download those models in the next days if bugs are found, so make sure to recheck those pages.

Changes

  • Add a new Reasoning effort UI element in the chat tab, with low, medium, and high options for GPT-OSS
  • Support standalone .jinja chat templates -- makes it possible to load GPT-OSS through Transformers
  • Make web search functional with thinking models

Bug fixes

  • Fix an edge case in chat history loading that caused a crash (closes [#7155])
  • Handle both int and str types in grammar char processing (fixes a rare crash when using grammar)

Backend updates


Portable builds

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

Which version to download:

  • Windows/Linux:
  • NVIDIA GPU: Use cuda12.4 for newer GPUs or cuda11.7 for older GPUs and systems with older drivers.
  • AMD/Intel GPU: Use vulkan builds.
  • CPU only: Use cpu builds.

  • Mac:

  • Apple Silicon: Use macos-arm64.
  • Intel CPU: Use macos-x86_64.

Updating a portable install:

  1. Download and unzip the latest version.
  2. Replace the user_data folder with the one in your existing install. All your settings and models will be moved.
Source: README.md, updated 2025-08-06