Download Latest Version textgen-portable-3.21-macos-arm64.zip (198.5 MB)
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Home / v3.20
Name Modified Size InfoDownloads / Week
Parent folder
textgen-portable-3.20-windows-cuda12.4.zip 2025-12-08 935.7 MB
5 5 weekly downloads
textgen-portable-3.20-windows-vulkan.zip 2025-12-08 216.4 MB
0
textgen-portable-3.20-windows-cpu.zip 2025-12-08 201.2 MB
0
textgen-portable-3.20-linux-cuda12.4.zip 2025-12-08 1.6 GB
0
textgen-portable-3.20-linux-rocm.zip 2025-12-08 627.3 MB
0
textgen-portable-3.20-macos-x86_64.zip 2025-12-08 166.4 MB
6 6 weekly downloads
textgen-portable-3.20-linux-vulkan.zip 2025-12-08 303.6 MB
0
textgen-portable-3.20-linux-cpu.zip 2025-12-08 257.2 MB
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textgen-portable-3.20-macos-arm64.zip 2025-12-08 199.4 MB
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README.md 2025-12-07 1.9 kB
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v3.20 source code.tar.gz 2025-12-07 24.9 MB
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v3.20 source code.zip 2025-12-07 25.1 MB
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Totals: 12 Items   4.6 GB 11

Image generation support!

523303375-5108de50-658b-4e93-b2ae-4656d076bc9d

Changes

  • Image generation support: Generate images with diffusers models like Z-Image-Turbo in a new "Image AI" tab. Features include:
  • 4bit/8bit quantization
  • torch.compile support
  • LLM-generated prompt variations
  • PNG metadata for generation settings
  • Gallery for past generations
  • Progress bar
  • OpenAI-compatible API endpoint for image generation

For a step-by-step tutorial, consult: Image Generation Tutorial

  • Pass bos_token and eos_token to jinja2 templates, making it possible to use the template for Seed-OSS-36B-Instruct and other models
  • Use flash_attention_2 by default for Transformers models

Bug fixes

  • Fix API requests always returning the same created time

Backend updates

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, and run.

Which version to download:

  • Windows/Linux:
  • NVIDIA GPU: Use cuda12.4.
  • AMD/Intel GPU: Use vulkan builds.

  • CPU only: Use cpu builds.

  • Mac:

  • Apple Silicon: Use macos-arm64.

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 2025-12-07