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The search service can find package by either name (apache), provides(webserver), absolute file names (/usr/bin/apache), binaries (gprof) or shared libraries (libXm.so.2) in standard path. It does not support multiple arguments yet...
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8-bit / 4-bit quantization and optimizers for PyTorch (QLoRA, LLM.int8). Built for CPU (AVX2 on x86_64, portable kernels on aarch64) so the same source RPM is hardware-independent. No NVIDIA CUDA toolkit is required. A ROCm/HIP variant can be added once upstream kernels compile with clang 23 and mixed wave32/wave64 targets.
| Package | Summary | Distribution | Download |
| python-bitsandbytes-0.50.1-2.aarch64.html | k-bit optimizers and quantization | OpenMandriva Cooker for aarch64 | python-bitsandbytes-0.50.1-2.aarch64.rpm |
| python-bitsandbytes-0.50.1-1.x86_64.html | k-bit optimizers and quantization (CPU) | OpenMandriva Cooker for x86_64 | python-bitsandbytes-0.50.1-1.x86_64.rpm |
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