Add a .gitignore and make HF deps fully optional

.gitignore

@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

unsloth/__init__.py

@@ -57,57 +57,61 @@
 
 
 # Try loading bitsandbytes and triton
-import bitsandbytes as bnb
+from .utils.imports import is_bnb_available
+
+if is_bnb_available():
+    import bitsandbytes as bnb
 import triton
 from triton.common.build import libcuda_dirs
 import os
 import re
 import numpy as np
 import subprocess
 
-try:
-    cdequantize_blockwise_fp32 = bnb.functional.lib.cdequantize_blockwise_fp32
-    libcuda_dirs()
-except:
-    warnings.warn(
-        "Unsloth: Running `ldconfig /usr/lib64-nvidia` to link CUDA."\
-    )
-
-    if os.path.exists("/usr/lib64-nvidia"):
-        os.system("ldconfig /usr/lib64-nvidia")
-    elif os.path.exists("/usr/local"):
-        # Sometimes bitsandbytes cannot be linked properly in Runpod for example
-        possible_cudas = subprocess.check_output(["ls", "-al", "/usr/local"]).decode("utf-8").split("\n")
-        find_cuda = re.compile(r"[\s](cuda\-[\d\.]{2,})$")
-        possible_cudas = [find_cuda.search(x) for x in possible_cudas]
-        possible_cudas = [x.group(1) for x in possible_cudas if x is not None]
-
-        # Try linking cuda folder, or everything in local
-        if len(possible_cudas) == 0:
-            os.system(f"ldconfig /usr/local/")
-        else:
-            find_number = re.compile(r"([\d\.]{2,})")
-            latest_cuda = np.argsort([float(find_number.search(x).group(1)) for x in possible_cudas])[::-1][0]
-            latest_cuda = possible_cudas[latest_cuda]
-            os.system(f"ldconfig /usr/local/{latest_cuda}")
-    pass
-
-    importlib.reload(bnb)
-    importlib.reload(triton)
+if is_bnb_available():
     try:
-        import bitsandbytes as bnb
-        from triton.common.build import libcuda_dirs
         cdequantize_blockwise_fp32 = bnb.functional.lib.cdequantize_blockwise_fp32
         libcuda_dirs()
     except:
         warnings.warn(
-            "Unsloth: CUDA is not linked properly.\n"\
-            "Try running `python -m bitsandbytes` then `python -m xformers.info`\n"\
-            "We tried running `ldconfig /usr/lib64-nvidia` ourselves, but it didn't work.\n"\
-            "You need to run in your terminal `sudo ldconfig /usr/lib64-nvidia` yourself, then import Unsloth.\n"\
-            "Also try `sudo ldconfig /usr/local/cuda-xx.x` - find the latest cuda version.\n"\
-            "Unsloth will still run for now, but maybe it might crash - let's hope it works!"
+            "Unsloth: Running `ldconfig /usr/lib64-nvidia` to link CUDA."\
         )
+
+        if os.path.exists("/usr/lib64-nvidia"):
+            os.system("ldconfig /usr/lib64-nvidia")
+        elif os.path.exists("/usr/local"):
+            # Sometimes bitsandbytes cannot be linked properly in Runpod for example
+            possible_cudas = subprocess.check_output(["ls", "-al", "/usr/local"]).decode("utf-8").split("\n")
+            find_cuda = re.compile(r"[\s](cuda\-[\d\.]{2,})$")
+            possible_cudas = [find_cuda.search(x) for x in possible_cudas]
+            possible_cudas = [x.group(1) for x in possible_cudas if x is not None]
+
+            # Try linking cuda folder, or everything in local
+            if len(possible_cudas) == 0:
+                os.system(f"ldconfig /usr/local/")
+            else:
+                find_number = re.compile(r"([\d\.]{2,})")
+                latest_cuda = np.argsort([float(find_number.search(x).group(1)) for x in possible_cudas])[::-1][0]
+                latest_cuda = possible_cudas[latest_cuda]
+                os.system(f"ldconfig /usr/local/{latest_cuda}")
+        pass
+
+        importlib.reload(bnb)
+        importlib.reload(triton)
+        try:
+            import bitsandbytes as bnb
+            from triton.common.build import libcuda_dirs
+            cdequantize_blockwise_fp32 = bnb.functional.lib.cdequantize_blockwise_fp32
+            libcuda_dirs()
+        except:
+            warnings.warn(
+                "Unsloth: CUDA is not linked properly.\n"\
+                "Try running `python -m bitsandbytes` then `python -m xformers.info`\n"\
+                "We tried running `ldconfig /usr/lib64-nvidia` ourselves, but it didn't work.\n"\
+                "You need to run in your terminal `sudo ldconfig /usr/lib64-nvidia` yourself, then import Unsloth.\n"\
+                "Also try `sudo ldconfig /usr/local/cuda-xx.x` - find the latest cuda version.\n"\
+                "Unsloth will still run for now, but maybe it might crash - let's hope it works!"
+            )
 pass
 
 from .models import *

unsloth/chat_templates.py

@@ -17,9 +17,11 @@
     "test_chat_templates",
 ]
 
-from transformers import StoppingCriteria, StoppingCriteriaList
+from .utils.imports import is_transformers_available
+if is_transformers_available():
+    from transformers import StoppingCriteria, StoppingCriteriaList
+    from transformers.models.llama.modeling_llama import logger
 from torch import LongTensor, FloatTensor
-from transformers.models.llama.modeling_llama import logger
 from .save import patch_saving_functions
 import os
 import shutil

unsloth/kernels/cross_entropy_loss.py

@@ -16,7 +16,9 @@
 import triton.language as tl
 import torch
 from .utils import calculate_settings, MAX_FUSED_SIZE
-from transformers.models.llama.modeling_llama import logger
+from ..utils.imports import is_transformers_available
+if is_transformers_available():
+    from transformers.models.llama.modeling_llama import logger
 
 
 @triton.jit

unsloth/kernels/utils.py

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from ..utils.imports import is_bnb_available
+
 import triton
 MAX_FUSED_SIZE = 65536
 next_power_of_2 = triton.next_power_of_2
@@ -29,15 +31,16 @@ def calculate_settings(n):
 pass
 
 
-import bitsandbytes as bnb
-get_ptr = bnb.functional.get_ptr
-import ctypes
-import torch
-cdequantize_blockwise_fp32      = bnb.functional.lib.cdequantize_blockwise_fp32
-cdequantize_blockwise_fp16_nf4  = bnb.functional.lib.cdequantize_blockwise_fp16_nf4
-cdequantize_blockwise_bf16_nf4  = bnb.functional.lib.cdequantize_blockwise_bf16_nf4
-cgemm_4bit_inference_naive_fp16 = bnb.functional.lib.cgemm_4bit_inference_naive_fp16
-cgemm_4bit_inference_naive_bf16 = bnb.functional.lib.cgemm_4bit_inference_naive_bf16
+if is_bnb_available():
+    import bitsandbytes as bnb
+    get_ptr = bnb.functional.get_ptr
+    import ctypes
+    import torch
+    cdequantize_blockwise_fp32      = bnb.functional.lib.cdequantize_blockwise_fp32
+    cdequantize_blockwise_fp16_nf4  = bnb.functional.lib.cdequantize_blockwise_fp16_nf4
+    cdequantize_blockwise_bf16_nf4  = bnb.functional.lib.cdequantize_blockwise_bf16_nf4
+    cgemm_4bit_inference_naive_fp16 = bnb.functional.lib.cgemm_4bit_inference_naive_fp16
+    cgemm_4bit_inference_naive_bf16 = bnb.functional.lib.cgemm_4bit_inference_naive_bf16
 
 
 def QUANT_STATE(W):