unsloth_windows_cu126_torch260

$ python -m xformers.info

xFormers 0.0.29.post3
memory_efficient_attention.ckF:                    unavailable
memory_efficient_attention.ckB:                    unavailable
memory_efficient_attention.ck_decoderF:            unavailable
memory_efficient_attention.ck_splitKF:             unavailable
memory_efficient_attention.cutlassF-pt:            available
memory_efficient_attention.cutlassB-pt:            available
[email protected]:      available
[email protected]:      available
[email protected]:             unavailable
[email protected]:             unavailable
memory_efficient_attention.triton_splitKF:         available
indexing.scaled_index_addF:                        available
indexing.scaled_index_addB:                        available
indexing.index_select:                             available
sp24.sparse24_sparsify_both_ways:                  available
sp24.sparse24_apply:                               available
sp24.sparse24_apply_dense_output:                  available
sp24._sparse24_gemm:                               available
[email protected]:                 available
[email protected]:                        available
swiglu.dual_gemm_silu:                             available
swiglu.gemm_fused_operand_sum:                     available
swiglu.fused.p.cpp:                                available
is_triton_available:                               True
pytorch.version:                                   2.6.0+cu126
pytorch.cuda:                                      available
gpu.compute_capability:                            8.6
gpu.name:                                          NVIDIA GeForce RTX 3070 Ti Laptop GPU
dcgm_profiler:                                     unavailable
build.info:                                        available
build.cuda_version:                                1206
build.hip_version:                                 None
build.python_version:                              3.12.8
build.torch_version:                               2.6.0+cu126
build.env.TORCH_CUDA_ARCH_LIST:                    6.0+PTX 7.0 7.5 8.0+PTX 9.0a
build.env.PYTORCH_ROCM_ARCH:                       None
build.env.XFORMERS_BUILD_TYPE:                     Release
build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS:        None
build.env.NVCC_FLAGS:                              -allow-unsupported-compiler
build.env.XFORMERS_PACKAGE_FROM:                   wheel-v0.0.29.post3
build.nvcc_version:                                12.6.85
source.privacy:                                    open source

---

$ python -m bitsandbytes

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++ BUG REPORT INFORMATION ++++++++++++++++++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++++++++++ OTHER +++++++++++++++++++++++++++
CUDA specs: CUDASpecs(highest_compute_capability=(8, 6), cuda_version_string='126', cuda_version_tuple=(12, 6))
PyTorch settings found: CUDA_VERSION=126, Highest Compute Capability: (8, 6).
To manually override the PyTorch CUDA version please see: https://github.com/TimDettmers/bitsandbytes/blob/main/docs/source/nonpytorchcuda.mdx
Found duplicate CUDA runtime files (see below).

We select the PyTorch default CUDA runtime, which is 12.6,
but this might mismatch with the CUDA version that is needed for bitsandbytes.
To override this behavior set the `BNB_CUDA_VERSION=<version string, e.g. 122>` environmental variable.

For example, if you want to use the CUDA version 122,
    BNB_CUDA_VERSION=122 python ...

OR set the environmental variable in your .bashrc:
    export BNB_CUDA_VERSION=122

In the case of a manual override, make sure you set LD_LIBRARY_PATH, e.g.
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.2,
* Found CUDA runtime at: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\cudart64_110.dll
* Found CUDA runtime at: C:\Windows\system32\nvcuda.dll
* Found CUDA runtime at: C:\Windows\system32\nvcudadebugger.dll
* Found CUDA runtime at: C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common\cudart64_65.dll
* Found CUDA runtime at: C:\WINDOWS\system32\nvcuda.dll
* Found CUDA runtime at: C:\WINDOWS\system32\nvcudadebugger.dll
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++++++ DEBUG INFO END ++++++++++++++++++++++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Checking that the library is importable and CUDA is callable...
SUCCESS!
Installation was successful!

---

$ pip list

Package                  Version
------------------------ ------------
accelerate               1.4.0
aiohappyeyeballs         2.4.6
aiohttp                  3.11.12
aiosignal                1.3.2
attrs                    25.1.0
bitsandbytes             0.45.2
certifi                  2025.1.31
charset-normalizer       3.4.1
colorama                 0.4.6
cut-cross-entropy        25.1.1
datasets                 3.3.1
dill                     0.3.8
docstring_parser         0.16
filelock                 3.13.1
frozenlist               1.5.0
fsspec                   2024.6.1
hf_transfer              0.1.9
huggingface-hub          0.28.1
idna                     3.10
Jinja2                   3.1.4
markdown-it-py           3.0.0
MarkupSafe               2.1.5
mdurl                    0.1.2
mpmath                   1.3.0
multidict                6.1.0
multiprocess             0.70.16
networkx                 3.3
numpy                    2.1.2
nvidia-cublas-cu12       12.8.3.14
nvidia-cuda-nvcc-cu12    12.8.61
nvidia-cuda-nvrtc-cu12   12.8.61
nvidia-cuda-runtime-cu12 12.8.57
nvidia-cudnn-cu12        9.5.1.17
packaging                24.2
pandas                   2.2.3
peft                     0.14.0
pillow                   11.0.0
pip                      24.3.1
propcache                0.2.1
protobuf                 3.20.3
psutil                   7.0.0
pyarrow                  19.0.1
Pygments                 2.19.1
python-dateutil          2.9.0.post0
pytz                     2025.1
PyYAML                   6.0.2
regex                    2024.11.6
requests                 2.32.3
rich                     13.9.4
safetensors              0.5.2
sentencepiece            0.2.0
setuptools               70.2.0
shtab                    1.7.1
six                      1.17.0
sympy                    1.13.1
tokenizers               0.21.0
torch                    2.6.0+cu126
torchaudio               2.6.0+cu126
torchvision              0.21.0+cu126
tqdm                     4.67.1
transformers             4.49.0
triton                   3.1.0
trl                      0.15.1
typeguard                4.4.2
typing_extensions        4.12.2
tyro                     0.9.14
tzdata                   2025.1
unsloth                  2025.2.12
unsloth_zoo              2025.2.5
urllib3                  2.3.0
wheel                    0.45.1
xformers                 0.0.29.post3
xxhash                   3.5.0
yarl                     1.18.3