python3Packages.unsloth-zoo: 2026.3.4 -> 2026.4.2

https://pypi.org/project/unsloth-zoo/2026.4.2/

Update the declared runtime dependencies to match the new upstream
metadata, narrow the relaxed dependency bounds to the ones still needed
in nixpkgs, keep only the patch hunk that removes the hard runtime
requirement on unsloth, correct the package license metadata to
LGPL-3.0-or-later, disable the import check because importing
unsloth_zoo now touches torch.cuda and queries device memory at import
time, and add a GPU-only passthru smoke test for that import path.

pkgs/development/python-modules/unsloth-zoo/default.nix

@@ -11,30 +11,42 @@
   accelerate,
   cut-cross-entropy,
   datasets,
+  filelock,
   hf-transfer,
   huggingface-hub,
   msgspec,
+  numpy,
   packaging,
   peft,
+  pillow,
+  protobuf,
   psutil,
+  regex,
   sentencepiece,
   torch,
+  torchao,
+  triton,
   tqdm,
   transformers,
   trl,
   tyro,
+  typing-extensions,
+
+  # tests
+  cudaPackages,
+  python,
 }:
 
 buildPythonPackage (finalAttrs: {
   pname = "unsloth-zoo";
-  version = "2026.3.4";
+  version = "2026.4.2";
   pyproject = true;
 
   # no tags on GitHub
   src = fetchPypi {
     pname = "unsloth_zoo";
     inherit (finalAttrs) version;
-    hash = "sha256-24w8UV5cLG5XWrU73xfmg+Jk32zl+QSPdqXLzMtmP1E=";
+    hash = "sha256-l0OTaZjPrNnrxVYIfZcf6pYr1tJS9EGj+iguU6S+D28=";
   };
 
   postPatch = ''
@@ -47,14 +59,11 @@ buildPythonPackage (finalAttrs: {
         "setuptools-scm"
   '';
 
-  # pyproject.toml requires an obsolete version of protobuf,
-  # but it is not used.
-  # Upstream issue: https://github.com/unslothai/unsloth-zoo/pull/68
+  # Upstream constrains datasets/torch more tightly than the versions
+  # currently shipped in nixpkgs, but the package still builds and works with
+  # the newer dependency set here.
   pythonRelaxDeps = [
     "datasets"
-    "protobuf"
-    "transformers"
-    "trl"
     "torch"
   ];
 
@@ -72,29 +81,59 @@ buildPythonPackage (finalAttrs: {
     accelerate
     cut-cross-entropy
     datasets
+    filelock
     hf-transfer
     huggingface-hub
     msgspec
+    numpy
     packaging
     peft
+    pillow
+    protobuf
     psutil
+    regex
     sentencepiece
     torch
+    torchao
+    triton
     tqdm
     transformers
     trl
     tyro
+    typing-extensions
   ];
 
   # No tests
   doCheck = false;
 
-  pythonImportsCheck = [ "unsloth_zoo" ];
+  # Importing touches torch.cuda at module import time and queries GPU memory.
+  dontUsePythonImportsCheck = true;
+
+  # Cover the import path on GPU-enabled runners instead of pure builders.
+  passthru.gpuCheck =
+    (cudaPackages.writeGpuTestPython.override { python3Packages = python.pkgs; }
+      {
+        libraries = ps: [ ps.unsloth-zoo ];
+      }
+      ''
+        import torch
+
+        assert torch.cuda.is_available(), "CUDA is not available"
+        assert torch.ones(1, device="cuda").is_cuda
+
+        import unsloth_zoo  # noqa: F401
+        from unsloth_zoo.device_type import DEVICE_COUNT, DEVICE_TYPE
+
+        assert DEVICE_TYPE == "cuda", DEVICE_TYPE
+        assert DEVICE_COUNT > 0, DEVICE_COUNT
+        print(f"Unsloth Zoo detected {DEVICE_COUNT} CUDA device(s)")
+      ''
+    ).gpuCheck;
 
   meta = {
     description = "Utils for Unsloth";
     homepage = "https://github.com/unslothai/unsloth_zoo";
-    license = lib.licenses.mit;
+    license = lib.licenses.lgpl3Plus;
     maintainers = with lib.maintainers; [ hoh ];
   };
 })

pkgs/development/python-modules/unsloth-zoo/dont-require-unsloth.patch

@@ -21,17 +21,3 @@ index 8c4404c..dc1666f 100644
  try:
      print("🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.")
  except:
-diff --git a/unsloth_zoo/device_type.py b/unsloth_zoo/device_type.py
-index 11136fb..8f8dafc 100644
---- a/unsloth_zoo/device_type.py
-+++ b/unsloth_zoo/device_type.py
-@@ -209,6 +209,9 @@ def get_device_type():
-         return "cuda"
-     elif hasattr(torch, "xpu") and torch.xpu.is_available():
-         return "xpu"
-+    else:
-+        # Allow import during tests
-+        return None
-     # Check torch.accelerator
-     if hasattr(torch, "accelerator"):
-         if not torch.accelerator.is_available():