upgrade numpy (#3236)

* upgrade numpy to 2.3.4

* bump contribs for numpy

* fix vllm versions

* bump numba

* make sure psutil is installed

* add psutil to cicd dockerfile jinja

* lower dep versions of numba + numpy for vllm

* bump datasets version

* resolve pydantic conflict too

.github/workflows/tests.yml

@@ -152,7 +152,7 @@ jobs:
       - name: upgrade pip
         run: |
           pip3 install --upgrade pip
-          pip3 install --upgrade packaging==23.2 setuptools==75.8.0 setuptools_scm build wheel
+          pip3 install --upgrade packaging==23.2 setuptools==75.8.0 setuptools_scm build wheel psutil
 
       - name: Install PyTorch
         run: |

cicd/Dockerfile.jinja

@@ -32,7 +32,7 @@ RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
         sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt; \
     fi
 
-RUN pip install packaging==23.2 setuptools==75.8.0
+RUN pip install packaging==23.2 setuptools==75.8.0 psutil
 RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
         pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
     else \

docker/Dockerfile-base

@@ -35,7 +35,7 @@ ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
 
 WORKDIR /workspace
 
-RUN python3 -m pip install --upgrade pip && pip3 install -U packaging==23.2 setuptools==75.8.0 wheel && \
+RUN python3 -m pip install --upgrade pip && pip3 install -U packaging==23.2 setuptools==75.8.0 wheel psutil && \
     python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} torchvision --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
     python3 -m pip cache purge
 

requirements.txt

@@ -15,7 +15,7 @@ peft>=0.17.1
 tokenizers>=0.21.1
 transformers==4.57.1
 accelerate==1.10.1
-datasets==4.0.0
+datasets==4.3.0
 deepspeed>=0.17.0
 trl==0.24.0
 hf_xet==1.2.0
@@ -28,7 +28,7 @@ sentencepiece
 gradio==5.49.1
 
 modal==1.0.2
-pydantic==2.10.6
+pydantic>=2.10.6
 addict
 fire
 PyYAML>=6.0
@@ -36,8 +36,8 @@ requests
 wandb
 einops
 colorama
-numba
+numba>=0.61.2
-numpy>=1.24.4,<=2.0.1
+numpy>=2.2.6
 
 # qlora things
 evaluate==0.4.1
@@ -50,7 +50,7 @@ python-dotenv==1.0.1
 
 # remote filesystems
 s3fs>=2024.5.0
-gcsfs>=2024.5.0
+gcsfs>=2025.3.0
 adlfs>=2024.5.0
 ocifs==1.3.2
 
@@ -66,7 +66,7 @@ antlr4-python3-runtime==4.13.2
 torchao==0.13.0
 schedulefree==1.4.1
 
-axolotl-contribs-lgpl==0.0.6
+axolotl-contribs-lgpl==0.0.7
 axolotl-contribs-mit==0.0.5
 
 mistral-common==1.8.5

setup.py

@@ -65,9 +65,11 @@ def parse_requirements(extras_require_map):
             if (major, minor) >= (2, 9):
                 extras_require_map.pop("fbgemm-gpu")
                 extras_require_map["fbgemm-gpu"] = ["fbgemm-gpu-genai==1.4.1"]
+                extras_require_map["vllm"] = ["vllm==0.11.1"]
             elif (major, minor) >= (2, 8):
                 extras_require_map.pop("fbgemm-gpu")
                 extras_require_map["fbgemm-gpu"] = ["fbgemm-gpu-genai==1.3.0"]
+                extras_require_map["vllm"] = ["vllm==0.11.0"]
             elif (major, minor) >= (2, 7):
                 _install_requires.pop(_install_requires.index(xformers_version))
                 if patch == 0:
@@ -76,7 +78,7 @@ def parse_requirements(extras_require_map):
                     extras_require_map.pop("vllm")
                 else:
                     _install_requires.append("xformers==0.0.31")
-                    extras_require_map["vllm"] = ["vllm>=0.10.0"]
+                    extras_require_map["vllm"] = ["vllm==0.10.1"]
             elif (major, minor) >= (2, 6):
                 _install_requires.pop(_install_requires.index(xformers_version))
                 _install_requires.append("xformers==0.0.29.post3")