diff --git a/Home.md b/Home.md
index 514ce83..b1fe3f4 100644
--- a/Home.md
+++ b/Home.md
@@ -594,4 +594,393 @@ PARAMETER stop </s>
 
 ### 8. Test command
 
-`ollama run my-model "<s>\nQ: \nWhat is the capital of France?\nA:\n"`
\ No newline at end of file
+`ollama run my-model "<s>\nQ: \nWhat is the capital of France?\nA:\n"`
+
+
+## NVIDIA Pascal Support
+
+Support for NVIDIA Pascal family of cards, specifically the P40 and P100.
+
+### Setup Guide
+
+1. Create three files (`Dockerfile`, `unsloth_env_file.yml`, and `docker-compose.yml`) with the contents provided below.
+2. Ensure Docker and Docker Compose are installed on your system.
+3. Install the NVIDIA Container Toolkit for GPU support if not already done.
+4. Place all three files in the same directory.
+5. Open a terminal and navigate to the directory containing these files.
+6. Run the following command to build and start the container:
+
+   ```
+   docker-compose up --build
+   ```
+
+7. Once the container is running, access Jupyter Lab by opening a web browser and navigating to `http://localhost:8888`.
+
+### Configuration Files
+
+#### 1. Dockerfile
+
+```dockerfile
+# Stage 1: Base image with system dependencies
+FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as base
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    git \
+    vim \
+    curl \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Miniconda only if it's not already installed
+RUN if [ ! -d "/opt/conda" ]; then \
+        wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \
+        bash miniconda.sh -b -p /opt/conda && \
+        rm miniconda.sh; \
+    fi
+
+# Set path to conda
+ENV PATH /opt/conda/bin:$PATH
+
+# Set path to conda
+ENV PATH /opt/conda/bin:$PATH
+
+# Stage 2: Python environment setup
+FROM base as python-env
+
+COPY unsloth_env_file.yml unsloth_env_file.yml
+
+RUN conda env create -f unsloth_env_file.yml
+
+SHELL ["conda", "run", "-n", "unsloth_env", "/bin/bash", "-c"]
+
+# Stage 3: Final image
+FROM python-env as final
+
+# Install Unsloth (This step is separate because it's likely to change more frequently)
+RUN pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+
+ENV PATH /usr/local/cuda/bin:$PATH
+ENV LD_LIBRARY_PATH /usr/local/cuda/lib64:$LD_LIBRARY_PATH
+
+# Set the working directory
+WORKDIR /workspace
+
+# Set the default command to run Jupyter Lab
+CMD ["conda", "run", "--no-capture-output", "-n", "unsloth_env", "jupyter", "lab", "--ip=0.0.0.0", "--no-browser", "--allow-root", "--NotebookApp.token=''", "--NotebookApp.password=''"]
+```
+
+#### 2. unsloth_env_file.yml
+
+```yaml
+name: unsloth_env
+channels:
+  - xformers
+  - pytorch
+  - nvidia
+  - conda-forge
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - aiohttp=3.9.5=py310h5eee18b_0
+  - aiosignal=1.2.0=pyhd3eb1b0_0
+  - anyio=4.2.0=py310h06a4308_0
+  - argon2-cffi=21.3.0=pyhd3eb1b0_0
+  - argon2-cffi-bindings=21.2.0=py310h7f8727e_0
+  - arrow-cpp=16.1.0=hc1eb8f0_0
+  - async-lru=2.0.4=pyhd8ed1ab_0
+  - async-timeout=4.0.3=py310h06a4308_0
+  - attrs=23.1.0=py310h06a4308_0
+  - aws-c-auth=0.6.19=h5eee18b_0
+  - aws-c-cal=0.5.20=hdbd6064_0
+  - aws-c-common=0.8.5=h5eee18b_0
+  - aws-c-compression=0.2.16=h5eee18b_0
+  - aws-c-event-stream=0.2.15=h6a678d5_0
+  - aws-c-http=0.6.25=h5eee18b_0
+  - aws-c-io=0.13.10=h5eee18b_0
+  - aws-c-mqtt=0.7.13=h5eee18b_0
+  - aws-c-s3=0.1.51=hdbd6064_0
+  - aws-c-sdkutils=0.1.6=h5eee18b_0
+  - aws-checksums=0.1.13=h5eee18b_0
+  - aws-crt-cpp=0.18.16=h6a678d5_0
+  - aws-sdk-cpp=1.10.55=h721c034_0
+  - babel=2.14.0=pyhd8ed1ab_0
+  - beautifulsoup4=4.12.3=py310h06a4308_0
+  - blas=1.0=mkl
+  - bleach=4.1.0=pyhd3eb1b0_0
+  - boost-cpp=1.82.0=hdb19cb5_2
+  - bottleneck=1.3.7=py310ha9d4c09_0
+  - brotli-python=1.0.9=py310h6a678d5_8
+  - bzip2=1.0.8=h5eee18b_6
+  - c-ares=1.19.1=h5eee18b_0
+  - ca-certificates=2024.7.4=hbcca054_0
+  - certifi=2024.7.4=pyhd8ed1ab_0
+  - cffi=1.16.0=py310h5eee18b_1
+  - charset-normalizer=3.3.2=pyhd3eb1b0_0
+  - cuda-cudart=11.8.89=0
+  - cuda-cupti=11.8.87=0
+  - cuda-libraries=11.8.0=0
+  - cuda-nvrtc=11.8.89=0
+  - cuda-nvtx=11.8.86=0
+  - cuda-runtime=11.8.0=0
+  - cuda-version=11.8=hcce14f8_3
+  - cudatoolkit=11.8.0=h6a678d5_0
+  - datasets=2.19.1=py310h06a4308_0
+  - debugpy=1.6.7=py310h6a678d5_0
+  - decorator=5.1.1=pyhd3eb1b0_0
+  - defusedxml=0.7.1=pyhd3eb1b0_0
+  - dill=0.3.8=py310h06a4308_0
+  - entrypoints=0.4=py310h06a4308_0
+  - ffmpeg=4.3=hf484d3e_0
+  - filelock=3.13.1=py310h06a4308_0
+  - freetype=2.12.1=h4a9f257_0
+  - frozenlist=1.4.0=py310h5eee18b_0
+  - fsspec=2024.3.1=py310h06a4308_0
+  - gflags=2.2.2=h6a678d5_1
+  - glog=0.5.0=h6a678d5_1
+  - gmp=6.2.1=h295c915_3
+  - gmpy2=2.1.2=py310heeb90bb_0
+  - gnutls=3.6.15=he1e5248_0
+  - h11=0.14.0=pyhd8ed1ab_0
+  - h2=4.1.0=pyhd8ed1ab_0
+  - hpack=4.0.0=pyh9f0ad1d_0
+  - httpcore=1.0.5=pyhd8ed1ab_0
+  - httpx=0.27.0=pyhd8ed1ab_0
+  - hyperframe=6.0.1=pyhd8ed1ab_0
+  - icu=73.1=h6a678d5_0
+  - idna=3.7=py310h06a4308_0
+  - importlib-metadata=7.0.1=py310h06a4308_0
+  - importlib_metadata=7.0.1=hd8ed1ab_0
+  - importlib_resources=6.4.0=pyhd8ed1ab_0
+  - intel-openmp=2023.1.0=hdb19cb5_46306
+  - ipykernel=6.28.0=py310h06a4308_0
+  - ipython_genutils=0.2.0=pyhd3eb1b0_1
+  - jedi=0.19.1=py310h06a4308_0
+  - jinja2=3.1.4=py310h06a4308_0
+  - jpeg=9e=h5eee18b_2
+  - json5=0.9.25=pyhd8ed1ab_0
+  - jsonschema=4.19.2=py310h06a4308_0
+  - jsonschema-specifications=2023.7.1=py310h06a4308_0
+  - jupyter-lsp=2.2.5=pyhd8ed1ab_0
+  - jupyter_client=7.4.9=py310h06a4308_0
+  - jupyter_core=5.7.2=py310h06a4308_0
+  - jupyter_events=0.10.0=py310h06a4308_0
+  - jupyter_server=2.14.1=py310h06a4308_0
+  - jupyter_server_terminals=0.4.4=py310h06a4308_1
+  - jupyterlab=4.2.4=pyhd8ed1ab_0
+  - jupyterlab_pygments=0.3.0=pyhd8ed1ab_1
+  - jupyterlab_server=2.27.3=pyhd8ed1ab_0
+  - krb5=1.20.1=h143b758_1
+  - lame=3.100=h7b6447c_0
+  - lcms2=2.12=h3be6417_0
+  - ld_impl_linux-64=2.38=h1181459_1
+  - lerc=3.0=h295c915_0
+  - libabseil=20240116.2=cxx17_h6a678d5_0
+  - libboost=1.82.0=h109eef0_2
+  - libbrotlicommon=1.0.9=h5eee18b_8
+  - libbrotlidec=1.0.9=h5eee18b_8
+  - libbrotlienc=1.0.9=h5eee18b_8
+  - libcublas=11.11.3.6=0
+  - libcufft=10.9.0.58=0
+  - libcufile=1.9.1.3=0
+  - libcurand=10.3.5.147=0
+  - libcurl=8.7.1=h251f7ec_0
+  - libcusolver=11.4.1.48=0
+  - libcusparse=11.7.5.86=0
+  - libdeflate=1.17=h5eee18b_1
+  - libedit=3.1.20230828=h5eee18b_0
+  - libev=4.33=h7f8727e_1
+  - libevent=2.1.12=hdbd6064_1
+  - libffi=3.4.4=h6a678d5_1
+  - libgcc-ng=14.1.0=h77fa898_0
+  - libgomp=14.1.0=h77fa898_0
+  - libgrpc=1.62.2=h2d74bed_0
+  - libiconv=1.16=h5eee18b_3
+  - libidn2=2.3.4=h5eee18b_0
+  - libjpeg-turbo=2.0.0=h9bf148f_0
+  - libnghttp2=1.57.0=h2d74bed_0
+  - libnpp=11.8.0.86=0
+  - libnvjpeg=11.9.0.86=0
+  - libpng=1.6.39=h5eee18b_0
+  - libprotobuf=4.25.3=he621ea3_0
+  - libsodium=1.0.18=h7b6447c_0
+  - libssh2=1.11.0=h251f7ec_0
+  - libstdcxx-ng=11.2.0=h1234567_1
+  - libtasn1=4.19.0=h5eee18b_0
+  - libthrift=0.15.0=h1795dd8_2
+  - libtiff=4.5.1=h6a678d5_0
+  - libunistring=0.9.10=h27cfd23_0
+  - libuuid=1.41.5=h5eee18b_0
+  - libwebp-base=1.3.2=h5eee18b_0
+  - llvm-openmp=14.0.6=h9e868ea_0
+  - lz4-c=1.9.4=h6a678d5_1
+  - markupsafe=2.1.3=py310h5eee18b_0
+  - mistune=2.0.4=py310h06a4308_0
+  - mkl=2023.1.0=h213fc3f_46344
+  - mkl-service=2.4.0=py310h5eee18b_1
+  - mkl_fft=1.3.8=py310h5eee18b_0
+  - mkl_random=1.2.4=py310hdb19cb5_0
+  - mpc=1.1.0=h10f8cd9_1
+  - mpfr=4.0.2=hb69a4c5_1
+  - mpmath=1.3.0=py310h06a4308_0
+  - multidict=6.0.4=py310h5eee18b_0
+  - multiprocess=0.70.15=py310h06a4308_0
+  - nb_conda_kernels=2.3.1=py310h06a4308_0
+  - nbclassic=1.1.0=py310h06a4308_0
+  - nbclient=0.8.0=py310h06a4308_0
+  - nbconvert=7.10.0=py310h06a4308_0
+  - nbformat=5.9.2=py310h06a4308_0
+  - ncurses=6.4=h6a678d5_0
+  - nest-asyncio=1.6.0=py310h06a4308_0
+  - nettle=3.7.3=hbbd107a_1
+  - networkx=3.3=py310h06a4308_0
+  - notebook=6.5.7=py310h06a4308_0
+  - notebook-shim=0.2.3=py310h06a4308_0
+  - numexpr=2.8.7=py310h85018f9_0
+  - numpy=1.26.4=py310h5f9d8c6_0
+  - numpy-base=1.26.4=py310hb5e798b_0
+  - openh264=2.1.1=h4ff587b_0
+  - openjpeg=2.4.0=h9ca470c_2
+  - openssl=3.3.1=h4bc722e_2
+  - orc=2.0.1=h2d29ad5_0
+  - overrides=7.4.0=py310h06a4308_0
+  - packaging=24.1=py310h06a4308_0
+  - pandas=2.2.2=py310h6a678d5_0
+  - pandocfilters=1.5.0=pyhd3eb1b0_0
+  - pillow=10.4.0=py310h5eee18b_0
+  - pip=24.0=py310h06a4308_0
+  - platformdirs=3.10.0=py310h06a4308_0
+  - prometheus_client=0.14.1=py310h06a4308_0
+  - prompt_toolkit=3.0.43=hd3eb1b0_0
+  - psutil=5.9.0=py310h5eee18b_0
+  - ptyprocess=0.7.0=pyhd3eb1b0_2
+  - pure_eval=0.2.2=pyhd3eb1b0_0
+  - pyarrow=16.1.0=py310h1128e8f_0
+  - pycparser=2.21=pyhd3eb1b0_0
+  - pysocks=1.7.1=py310h06a4308_0
+  - python=3.10.14=h955ad1f_1
+  - python-dateutil=2.9.0post0=py310h06a4308_2
+  - python-fastjsonschema=2.16.2=py310h06a4308_0
+  - python-json-logger=2.0.7=py310h06a4308_0
+  - python-tzdata=2023.3=pyhd3eb1b0_0
+  - python-xxhash=2.0.2=py310h5eee18b_1
+  - pytorch=2.1.0=py3.10_cuda11.8_cudnn8.7.0_0
+  - pytorch-cuda=11.8=h7e8668a_5
+  - pytorch-mutex=1.0=cuda
+  - pytz=2024.1=py310h06a4308_0
+  - pyyaml=6.0.1=py310h5eee18b_0
+  - pyzmq=24.0.1=py310h5eee18b_0
+  - re2=2022.04.01=h295c915_0
+  - readline=8.2=h5eee18b_0
+  - referencing=0.30.2=py310h06a4308_0
+  - regex=2023.10.3=py310h5eee18b_0
+  - requests=2.32.3=py310h06a4308_0
+  - rfc3339-validator=0.1.4=py310h06a4308_0
+  - rfc3986-validator=0.1.1=py310h06a4308_0
+  - rpds-py=0.10.6=py310hb02cf49_0
+  - s2n=1.3.27=hdbd6064_0
+  - safetensors=0.4.2=py310ha89cbab_1
+  - send2trash=1.8.2=py310h06a4308_0
+  - setuptools=69.5.1=py310h06a4308_0
+  - six=1.16.0=pyhd3eb1b0_1
+  - snappy=1.1.10=h6a678d5_1
+  - sniffio=1.3.0=py310h06a4308_0
+  - soupsieve=2.5=py310h06a4308_0
+  - sqlite=3.45.3=h5eee18b_0
+  - stack_data=0.2.0=pyhd3eb1b0_0
+  - sympy=1.12=py310h06a4308_0
+  - tbb=2021.8.0=hdb19cb5_0
+  - terminado=0.17.1=py310h06a4308_0
+  - tinycss2=1.2.1=py310h06a4308_0
+  - tk=8.6.14=h39e8969_0
+  - tokenizers=0.19.1=py310hff361bb_0
+  - tomli=2.0.1=pyhd8ed1ab_0
+  - torchaudio=2.1.0=py310_cu118
+  - torchtriton=2.1.0=py310
+  - torchvision=0.16.0=py310_cu118
+  - tornado=6.4.1=py310h5eee18b_0
+  - tqdm=4.66.4=py310h2f386ee_0
+  - traitlets=5.14.3=py310h06a4308_0
+  - typing-extensions=4.11.0=py310h06a4308_0
+  - typing_extensions=4.11.0=py310h06a4308_0
+  - tzdata=2024a=h04d1e81_0
+  - urllib3=2.2.2=py310h06a4308_0
+  - utf8proc=2.6.1=h5eee18b_1
+  - webencodings=0.5.1=py310h06a4308_1
+  - websocket-client=1.8.0=py310h06a4308_0
+  - wheel=0.43.0=py310h06a4308_0
+  - xformers=0.0.22.post7=py310_cu11.8.0_pyt2.1.0
+  - xxhash=0.8.0=h7f8727e_3
+  - xz=5.4.6=h5eee18b_1
+  - yaml=0.2.5=h7b6447c_0
+  - yarl=1.9.3=py310h5eee18b_0
+  - zeromq=4.3.5=h6a678d5_0
+  - zipp=3.17.0=py310h06a4308_0
+  - zlib=1.2.13=h5eee18b_1
+  - zstd=1.5.5=hc292b87_2
+  - pip:
+      - accelerate==0.33.0
+      - asttokens==2.4.1
+      - bitsandbytes==0.43.2
+      - comm==0.2.2
+      - docstring-parser==0.16
+      - exceptiongroup==1.2.2
+      - executing==2.0.1
+      - gguf==0.9.1
+      - hf-transfer==0.1.8
+      - huggingface-hub==0.24.2
+      - iprogress==0.4
+      - ipython==8.26.0
+      - ipywidgets==8.1.3
+      - jupyterlab-widgets==3.0.11
+      - markdown-it-py==3.0.0
+      - matplotlib-inline==0.1.7
+      - mdurl==0.1.2
+      - parso==0.8.4
+      - peft==0.12.0
+      - pexpect==4.9.0
+      - prompt-toolkit==3.0.47
+      - protobuf==3.20.3
+      - pure-eval==0.2.3
+      - pygments==2.18.0
+      - rich==13.7.1
+      - sentencepiece==0.2.0
+      - shtab==1.7.1
+      - stack-data==0.6.3
+      - transformers==4.43.3
+      - trl==0.8.6
+      - tyro==0.8.5
+      - wcwidth==0.2.13
+      - widgetsnbextension==4.0.11
+ ```
+
+#### 3. docker-compose.yml
+
+```yaml
+version: '3.8'
+
+services:
+  unsloth-env:
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=all
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+    volumes:
+      - ./cache:/root/.cache
+      - ./workspace:/workspace
+    working_dir: /workspace
+    ports:
+      - "8888:8888"  # For Jupyter Lab
+    tty: true
+    stdin_open: true
+    build:
+      context: .
+      dockerfile: Dockerfile
+```
\ No newline at end of file