Changes
- Add
weights_only=Truetotorch.loadin Training_PRO for better security.
Bug fixes
- Pin huggingface-hub to 0.36.0 to fix manual venv installs.
- fix: Rename 'evaluation_strategy' to 'eval_strategy' in training. Thanks, @inyourface34456.
Backend updates
- Update llama.cpp to https://github.com/ggml-org/llama.cpp/tree/230d1169e5bfe04a013b2e20f4662ee56c2454b0 (adds Qwen3-VL support)
- Update exllamav3 to 0.0.12
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
vulkanbuilds. - CPU only: Use
cpubuilds.
- NVIDIA GPU: Use
-
Mac:
- Apple Silicon: Use
macos-arm64. - Intel CPU: Use
macos-x86_64.
- Apple Silicon: Use
Updating a portable install:
- Download and unzip the latest version.
- Replace the
user_datafolder with the one in your existing install. All your settings and models will be moved.