Changes
- Add
--cpu-moeflag for llama.cpp to move MoE model experts to CPU, reducing VRAM usage. - Add ROCm portable builds for AMD GPUs on Linux. This was made possible by PR oobabooga/llama-cpp-binaries#7 by @ShortTimeNoSee. Thanks, @ShortTimeNoSee.
- Remove deprecated macOS 13 wheels (no longer supported by GitHub Actions).
Backend updates
- Update llama.cpp to https://github.com/ggml-org/llama.cpp/tree/10e9780154365b191fb43ca4830659ef12def80f
- Update ExLlamaV3 to 0.0.15
- Update peft to 0.18.*
- Update triton-windows to 3.5.1.post21
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.
- 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.