row_split not working with ik_llama.cpp — --split-mode row is now converted to --split-mode graph (#7489).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.
| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (774 MB) | Download (1.09 GB) |
| NVIDIA (CUDA 13.1) | Download (696 MB) | Download (1.19 GB) |
| AMD/Intel (Vulkan) | Download (209 MB) | — |
| AMD (ROCm 7.2) | Download (517 MB) | — |
| CPU only | Download (191 MB) | Download (192 MB) |
| GPU/Platform | llama.cpp | ik_llama.cpp |
|---|---|---|
| NVIDIA (CUDA 12.4) | Download (758 MB) | Download (1.09 GB) |
| NVIDIA (CUDA 13.1) | Download (710 MB) | Download (1.21 GB) |
| AMD/Intel (Vulkan) | Download (225 MB) | — |
| AMD (ROCm 7.2) | Download (330 MB) | — |
| CPU only | Download (207 MB) | Download (218 MB) |
| Architecture | llama.cpp |
|---|---|
| Apple Silicon (arm64) | Download (182 MB) |
| Intel (x86_64) | Download (188 MB) |
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
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