diff --git a/pyproject.toml b/pyproject.toml
index b0c23b3056..7739f10a29 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -381,6 +381,41 @@ cu130onlytorch2110 = [
     "xformers @ https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-manylinux_2_28_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
     "xformers @ https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
 ]
+# torch 2.12 ships on the cu126 and cu130 indexes only, so there is no cu128 leaf.
+# torchaudio has no 2.12 release; 2.11.0 carries no torch pin and pairs with 2.12.
+cu126onlytorch2120 = [
+    # Same +cuNNN pin as cu126onlytorch2110: xformers 0.0.35 depends on torch without
+    # pinning it, so an unpinned trio walks up to the newest release on the index.
+    "torch==2.12.0+cu126",
+    "torchvision==0.27.0+cu126",
+    "torchaudio==2.11.0+cu126",
+    "xformers @ https://download.pytorch.org/whl/cu126/xformers-0.0.35-py39-none-manylinux_2_28_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+    "xformers @ https://download.pytorch.org/whl/cu126/xformers-0.0.35-py39-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+]
+cu130onlytorch2120 = [
+    # Same +cuNNN pin as cu126onlytorch2120, on the cu130 index.
+    "torch==2.12.0+cu130",
+    "torchvision==0.27.0+cu130",
+    "torchaudio==2.11.0+cu130",
+    "xformers @ https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-manylinux_2_28_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+    "xformers @ https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+]
+cu126onlytorch2121 = [
+    # torchvision exact-pins torch, so the 2.12.1 patch takes 0.27.1.
+    "torch==2.12.1+cu126",
+    "torchvision==0.27.1+cu126",
+    "torchaudio==2.11.0+cu126",
+    "xformers @ https://download.pytorch.org/whl/cu126/xformers-0.0.35-py39-none-manylinux_2_28_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+    "xformers @ https://download.pytorch.org/whl/cu126/xformers-0.0.35-py39-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+]
+cu130onlytorch2121 = [
+    # Same +cuNNN pin as cu126onlytorch2121, on the cu130 index.
+    "torch==2.12.1+cu130",
+    "torchvision==0.27.1+cu130",
+    "torchaudio==2.11.0+cu130",
+    "xformers @ https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-manylinux_2_28_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+    "xformers @ https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
+]
 cu118 = [
     "unsloth[huggingface]",
     "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
@@ -604,6 +639,26 @@ cu130-torch2110 = [
     "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
     "unsloth[cu130onlytorch2110]",
 ]
+cu126-torch2120 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu126onlytorch2120]",
+]
+cu130-torch2120 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu130onlytorch2120]",
+]
+cu126-torch2121 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu126onlytorch2121]",
+]
+cu130-torch2121 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu130onlytorch2121]",
+]
 kaggle = [
     "unsloth[huggingface]",
 ]
@@ -921,6 +976,26 @@ cu130-ampere-torch2110 = [
     "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
     "unsloth[cu130onlytorch2110]",
 ]
+cu126-ampere-torch2120 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu126onlytorch2120]",
+]
+cu130-ampere-torch2120 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu130onlytorch2120]",
+]
+cu126-ampere-torch2121 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu126onlytorch2121]",
+]
+cu130-ampere-torch2121 = [
+    "unsloth[huggingface]",
+    "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+    "unsloth[cu130onlytorch2121]",
+]
 flashattentiontorch260abiFALSEcu12x = [
     "flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp39-cp39-linux_x86_64.whl ; ('linux' in sys_platform) and python_version == '3.9'",
     "flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; ('linux' in sys_platform) and python_version == '3.10'",
diff --git a/tests/test_torch2110_cuda_extras.py b/tests/test_torch2110_cuda_extras.py
index 83b1a4079a..6662431d8b 100644
--- a/tests/test_torch2110_cuda_extras.py
+++ b/tests/test_torch2110_cuda_extras.py
@@ -14,11 +14,13 @@
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
-"""Regression guard for the CUDA torch2110 optional-dependency extras.
+"""Regression guard for the CUDA torch2110 and torch212x optional-dependency extras.
 
-The cuXXXonlytorch2110 extras must pin the torch trio to the matching +cuXXX local
-build (torch 2.11 defaults to a CUDA-13 PyPI wheel), or resolution mismatches the
-xformers wheel. Hermetic: only parses pyproject.toml, no network or install.
+The cuXXXonlytorch2110 / cuXXXonlytorch212X extras must pin the torch trio to the
+matching +cuXXX local build (these releases default to a CUDA-13 PyPI wheel, and
+xformers 0.0.35 depends on torch without pinning it), or resolution walks torch up
+to the newest release on the index and mismatches the xformers wheel. Hermetic:
+only parses pyproject.toml and _auto_install.py, no network or install.
 """
 
 from __future__ import annotations
@@ -33,14 +35,27 @@ try:  # tomllib is stdlib on 3.11+; older interpreters need the tomli backport.
 except ModuleNotFoundError:  # pragma: no cover - Python 3.9 / 3.10
     tomllib = pytest.importorskip("tomli")
 
-PYPROJECT = Path(__file__).resolve().parents[1] / "pyproject.toml"
+REPO = Path(__file__).resolve().parents[1]
+PYPROJECT = REPO / "pyproject.toml"
+AUTO_INSTALL = REPO / "unsloth" / "_auto_install.py"
 _TORCH_TRIO = ("torch", "torchvision", "torchaudio")
+# torchaudio has no 2.12 release, so the 2.12 leaves keep the unpinned 2.11.0 audio wheel.
+_TORCH212_TRIO = {
+    "torch2120": {"torch": "2.12.0", "torchvision": "0.27.0", "torchaudio": "2.11.0"},
+    "torch2121": {"torch": "2.12.1", "torchvision": "0.27.1", "torchaudio": "2.11.0"},
+}
+# torch 2.12 is absent from the cu128 index, so only these two flavors get 2.12 extras.
+_TORCH212_CUDA = ("cu126", "cu130")
+
+
+def _extras() -> dict[str, list[str]]:
+    with open(PYPROJECT, "rb") as f:
+        data = tomllib.load(f)
+    return data["project"]["optional-dependencies"]
 
 
 def _extra(name: str) -> list[str]:
-    with open(PYPROJECT, "rb") as f:
-        data = tomllib.load(f)
-    return data["project"]["optional-dependencies"][name]
+    return _extras()[name]
 
 
 def _reqs(specs: list[str]) -> dict[str, list[Requirement]]:
@@ -89,6 +104,71 @@ def test_torch2110_wrapper_references_matching_leaf(cuda: str, variant: str):
     ]
 
 
+@pytest.mark.parametrize("cuda", _TORCH212_CUDA)
+@pytest.mark.parametrize("series", sorted(_TORCH212_TRIO))
+def test_cuda12_torch212_pins_matching_local_build(cuda: str, series: str):
+    reqs = _reqs(_extra(f"{cuda}only{series}"))
+    for pkg, want in _TORCH212_TRIO[series].items():
+        (req,) = reqs[pkg]
+        spec = str(req.specifier)
+        assert spec == f"=={want}+{cuda}", (
+            f"{cuda}only{series}: {pkg} pinned as '{spec}', "
+            f"expected the =={want}+{cuda} local build"
+        )
+        assert req.marker is None, f"the {pkg} pin must apply on every machine"
+    xformers = reqs["xformers"]
+    linux = [r for r in xformers if r.url and r.url.endswith("manylinux_2_28_x86_64.whl")]
+    windows = [r for r in xformers if r.url and r.url.endswith("win_amd64.whl")]
+    assert len(linux) == 1 and len(windows) == 1, f"unexpected xformers wheels: {xformers}"
+    for r in linux + windows:
+        assert f"/whl/{cuda}/xformers-0.0.35-" in r.url, f"xformers not on the {cuda} index: {r.url}"
+        assert r.marker is not None
+        assert not r.marker.evaluate({"sys_platform": "linux", "platform_machine": "aarch64"})
+        assert not r.marker.evaluate({"sys_platform": "win32", "platform_machine": "ARM64"})
+    assert linux[0].marker.evaluate({"sys_platform": "linux", "platform_machine": "x86_64"})
+    assert windows[0].marker.evaluate({"sys_platform": "win32", "platform_machine": "AMD64"})
+
+
+@pytest.mark.parametrize("cuda", _TORCH212_CUDA)
+@pytest.mark.parametrize("series", sorted(_TORCH212_TRIO))
+@pytest.mark.parametrize("variant", ["", "ampere-"])
+def test_torch212_wrapper_references_matching_leaf(cuda: str, series: str, variant: str):
+    specs = _extra(f"{cuda}-{variant}{series}")
+    assert specs == [
+        "unsloth[huggingface]",
+        "bitsandbytes>=0.45.5,!=0.46.0,!=0.48.0",
+        f"unsloth[{cuda}only{series}]",
+    ]
+
+
+@pytest.mark.parametrize("series", sorted(_TORCH212_TRIO))
+def test_no_cu128_torch212_extras(series: str):
+    # torch 2.12 is not published on the cu128 index; a cu128 leaf would be unresolvable.
+    names = _extras()
+    for name in (f"cu128only{series}", f"cu128-{series}", f"cu128-ampere-{series}"):
+        assert name not in names, f"{name} cannot resolve: no torch 2.12 on the cu128 index"
+
+
+@pytest.mark.parametrize("series", sorted(_TORCH212_TRIO))
+def test_auto_install_maps_torch212_to_defined_extras(series: str):
+    # The printed command must name extras that exist, and must add the index that
+    # serves the +cuNNN local builds those extras pin.
+    source = AUTO_INSTALL.read_text()
+    assert f"'cu{{}}{{}}-{series}'" in source, f"_auto_install.py never selects {series}"
+    assert f"'-{series}'" in source, f"{series} missing from the extra-index-url gate"
+    names = _extras()
+    for cuda in _TORCH212_CUDA:
+        for variant in ("", "-ampere"):
+            assert f"cu{cuda[2:]}{variant}-{series}" in names
+
+
+def test_auto_install_rejects_cuda128_on_torch212():
+    # cu128 tops out at torch 2.11, so 2.12 on that flavor must fail loudly rather
+    # than print an install command for an extra that does not exist.
+    source = AUTO_INSTALL.read_text()
+    assert 'if v >= V(\'2.12.0\') and cuda not in ("12.6", "13.0")' in source
+
+
 @pytest.mark.parametrize("cuda", ["cu126", "cu128", "cu130"])
 def test_cuda12_torch2100_keeps_torch_pinned_off_x86(cuda: str):
     # xformers wheels now carry x86-64 markers, so the leaf must pin torch for ARM64.
diff --git a/unsloth/_auto_install.py b/unsloth/_auto_install.py
index f283071a99..7973788c90 100644
--- a/unsloth/_auto_install.py
+++ b/unsloth/_auto_install.py
@@ -38,10 +38,15 @@ elif v  < V('2.9.2'): x = 'cu{}{}-torch291'
 elif v  < V('2.10.1'): x = 'cu{}{}-torch2100'
 elif v  < V('2.11.0'): raise RuntimeError(f"Torch = {v} not supported!")
 elif v  < V('2.11.1'): x = 'cu{}{}-torch2110'
+elif v  < V('2.12.0'): raise RuntimeError(f"Torch = {v} not supported!")
+elif v  < V('2.12.1'): x = 'cu{}{}-torch2120'
+elif v  < V('2.12.2'): x = 'cu{}{}-torch2121'
 else: raise RuntimeError(f"Torch = {v} too new!")
 if v > V('2.6.9') and cuda not in ("11.8", "12.6", "12.8", "13.0"): raise RuntimeError(f"CUDA = {cuda} not supported!")
 if v >= V('2.10.0') and cuda not in ("12.6", "12.8", "13.0"): raise RuntimeError(f"Torch = {v} requires CUDA 12.6, 12.8, or 13.0! Got CUDA = {cuda}")
+# torch 2.12 is published on the cu126 and cu130 indexes only, so there is no cu128 extra.
+if v >= V('2.12.0') and cuda not in ("12.6", "13.0"): raise RuntimeError(f"Torch = {v} requires CUDA 12.6 or 13.0! Got CUDA = {cuda}")
 x = x.format(cuda.replace(".", ""), "-ampere" if False else "") # is_ampere is broken due to flash-attn
-# torch2110 extras pin +cuNNN local builds that only resolve from the matching index.
-extra_index = f' --extra-index-url https://download.pytorch.org/whl/cu{cuda.replace(".", "")}' if (x.endswith('-torch2110') and cuda in ("12.6", "12.8", "13.0")) else ''
+# torch2110 and later extras pin +cuNNN local builds that only resolve from the matching index.
+extra_index = f' --extra-index-url https://download.pytorch.org/whl/cu{cuda.replace(".", "")}' if (x.endswith(('-torch2110', '-torch2120', '-torch2121')) and cuda in ("12.6", "12.8", "13.0")) else ''
 print(f'pip install --upgrade pip setuptools wheel && pip install --no-deps git+https://github.com/unslothai/unsloth-zoo.git && pip install "unsloth[{x}] @ git+https://github.com/unslothai/unsloth.git" --no-build-isolation{extra_index}')
\ No newline at end of file