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unsloth/studio
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danielhanchen e717042454 Restore Unsloth CUDA tuning flags in the GPU llama.cpp configure 
The CPU/GPU configure split dropped the GGML_CUDA tuning flags from the GPU
branch. Restore GGML_CUDA_FA_ALL_QUANTS=ON, GGML_CUDA_F16=OFF, GGML_CUDA_GRAPHS=OFF,
GGML_CUDA_FORCE_CUBLAS=OFF and GGML_CUDA_PEER_MAX_BATCH_SIZE=8192 inside the
if ($HasNvidiaSmi -and $NvccPath) block so GPU builds match the pre-split baseline.
The CPU-only path is unchanged.
2026-07-06 10:32:30 +00:00
..
backend Trim ~255 MB of unused packages from Studio setup (#4395) 2026-03-17 21:32:38 -07:00
frontend fix(studio): use explicit Cancel for model load toast (#4377) 2026-03-17 22:39:51 -07:00
__init__.py Final cleanup 2026-03-12 18:28:04 +00:00
install_python_stack.py studio: improve Colab notebook, redesign ready popup, and clean up install output (#4339) 2026-03-16 21:39:25 -07:00
LICENSE.AGPL-3.0 Add AGPL-3.0 license to studio folder 2026-03-09 19:36:25 +00:00
setup.bat Final cleanup 2026-03-12 18:28:04 +00:00
setup.ps1 Restore Unsloth CUDA tuning flags in the GPU llama.cpp configure 2026-07-06 10:32:30 +00:00
setup.sh studio: improve onboarding UX, tooltips, and training defaults (#4355) 2026-03-17 07:46:07 -07:00
Unsloth_Studio_Colab.ipynb Update Unsloth_Studio_Colab.ipynb 2026-03-17 15:42:38 -07:00