Merge pull request #108 from OpenAccess-AI-Collective/docker-gptq
default to qlora support, make gptq specific image
This commit is contained in:
17
.github/workflows/base.yml
vendored
17
.github/workflows/base.yml
vendored
@@ -14,14 +14,17 @@ jobs:
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strategy:
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strategy:
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matrix:
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matrix:
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include:
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include:
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- cuda: cu118
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- cuda: "118"
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cuda_version: 11.8.0
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cuda_version: 11.8.0
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cuda_version_bnb: "118"
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axolotl_extras:
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pytorch: 2.0.0
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- cuda: "117"
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- cuda: cu117
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cuda_version: 11.7.0
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cuda_version: 11.7.0
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cuda_version_bnb: "117"
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pytorch: 1.13.1
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pytorch: 1.13.1
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axolotl_extras:
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- cuda: "118"
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cuda_version: 11.8.0
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pytorch: 2.0.0
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axolotl_extras: gptq
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steps:
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steps:
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- name: Checkout
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- name: Checkout
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uses: actions/checkout@v3
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uses: actions/checkout@v3
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@@ -43,12 +46,12 @@ jobs:
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context: .
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context: .
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file: ./docker/Dockerfile-base
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file: ./docker/Dockerfile-base
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push: ${{ github.event_name != 'pull_request' }}
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push: ${{ github.event_name != 'pull_request' }}
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tags: ${{ steps.metadata.outputs.tags }}-${{ matrix.cuda }}-${{ matrix.pytorch }}
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tags: ${{ steps.metadata.outputs.tags }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
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labels: ${{ steps.metadata.outputs.labels }}
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labels: ${{ steps.metadata.outputs.labels }}
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cache-from: type=gha
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cache-from: type=gha
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cache-to: type=gha,mode=max
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cache-to: type=gha,mode=max
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build-args: |
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build-args: |
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CUDA_VERSION=${{ matrix.cuda_version }}
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CUDA_VERSION=${{ matrix.cuda_version }}
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CUDA_VERSION_BNB=${{ matrix.cuda_version_bnb }}
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CUDA=${{ matrix.cuda }}
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CUDA=${{ matrix.cuda }}
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PYTORCH_VERSION=${{ matrix.pytorch }}
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PYTORCH_VERSION=${{ matrix.pytorch }}
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AXOLOTL_EXTRAS=${{ matrix.axolotl_extras }}
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20
.github/workflows/main.yml
vendored
20
.github/workflows/main.yml
vendored
@@ -16,9 +16,15 @@ jobs:
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- cuda: cu118
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- cuda: cu118
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cuda_version: 11.8.0
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cuda_version: 11.8.0
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pytorch: 2.0.0
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pytorch: 2.0.0
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axolotl_extras:
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- cuda: cu118
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cuda_version: 11.8.0
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pytorch: 2.0.0
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axolotl_extras: gptq
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- cuda: cu117
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- cuda: cu117
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cuda_version: 11.7.0
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cuda_version: 11.7.0
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pytorch: 1.13.1
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pytorch: 1.13.1
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axolotl_extras:
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runs-on: self-hosted
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runs-on: self-hosted
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steps:
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steps:
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- name: Checkout
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- name: Checkout
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@@ -40,10 +46,10 @@ jobs:
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with:
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with:
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context: .
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context: .
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build-args: |
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build-args: |
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BASE_TAG=${{ github.ref_name }}-base-${{ matrix.cuda }}-${{ matrix.pytorch }}
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BASE_TAG=${{ github.ref_name }}-base-${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
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file: ./docker/Dockerfile
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file: ./docker/Dockerfile
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push: ${{ github.event_name != 'pull_request' }}
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push: ${{ github.event_name != 'pull_request' }}
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tags: ${{ steps.metadata.outputs.tags }}-${{ matrix.cuda }}-${{ matrix.pytorch }}
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tags: ${{ steps.metadata.outputs.tags }}-${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
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labels: ${{ steps.metadata.outputs.labels }}
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labels: ${{ steps.metadata.outputs.labels }}
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cache-from: type=gha
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cache-from: type=gha
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cache-to: type=gha,mode=max
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cache-to: type=gha,mode=max
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@@ -57,9 +63,15 @@ jobs:
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- cuda: cu118
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- cuda: cu118
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cuda_version: 11.8.0
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cuda_version: 11.8.0
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pytorch: 2.0.0
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pytorch: 2.0.0
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axolotl_extras:
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- cuda: cu118
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cuda_version: 11.8.0
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pytorch: 2.0.0
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axolotl_extras: gptq
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- cuda: cu117
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- cuda: cu117
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cuda_version: 11.7.0
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cuda_version: 11.7.0
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pytorch: 1.13.1
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pytorch: 1.13.1
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axolotl_extras:
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runs-on: self-hosted
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runs-on: self-hosted
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steps:
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steps:
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- name: Checkout
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- name: Checkout
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@@ -81,10 +93,10 @@ jobs:
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with:
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with:
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context: .
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context: .
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build-args: |
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build-args: |
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BASE_TAG=${{ github.ref_name }}-${{ matrix.cuda }}-${{ matrix.pytorch }}
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BASE_TAG=${{ github.ref_name }}-${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
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file: ./docker/Dockerfile-runpod
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file: ./docker/Dockerfile-runpod
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push: ${{ github.event_name != 'pull_request' }}
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push: ${{ github.event_name != 'pull_request' }}
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tags: ${{ steps.metadata.outputs.tags }}-${{ matrix.cuda }}-${{ matrix.pytorch }}
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tags: ${{ steps.metadata.outputs.tags }}-${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
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labels: ${{ steps.metadata.outputs.labels }}
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labels: ${{ steps.metadata.outputs.labels }}
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cache-from: type=gha
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cache-from: type=gha
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cache-to: type=gha,mode=max
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cache-to: type=gha,mode=max
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@@ -32,7 +32,7 @@
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```bash
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```bash
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git clone https://github.com/OpenAccess-AI-Collective/axolotl
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git clone https://github.com/OpenAccess-AI-Collective/axolotl
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pip3 install -e .[int4]
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pip3 install -e .
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accelerate config
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accelerate config
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@@ -59,9 +59,9 @@ accelerate launch scripts/finetune.py examples/lora-openllama-3b/config.yml \
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1. Install python **3.9**
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1. Install python **3.9**
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2. Install python dependencies with ONE of the following:
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2. Install python dependencies with ONE of the following:
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- `pip3 install -e .[int4]` (recommended)
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- `pip3 install -e .` (recommended, supports QLoRA, no gptq/int4 support)
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- `pip3 install -e .[int4_triton]`
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- `pip3 install -e .[gptq]` (next best if you don't need QLoRA, but want to use gptq)
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- `pip3 install -e .`
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- `pip3 install -e .[gptq_triton]`
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### Dataset
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### Dataset
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@@ -2,19 +2,26 @@ ARG BASE_TAG=main-base
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FROM winglian/axolotl-base:$BASE_TAG
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FROM winglian/axolotl-base:$BASE_TAG
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ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
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ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
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ARG AXOLOTL_EXTRAS=""
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RUN apt-get update && \
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RUN apt-get update && \
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apt-get install -y vim curl
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apt-get install -y vim curl
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WORKDIR /workspace
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WORKDIR /workspace
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# The base image ships with `pydantic==1.8.2` which is not working
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RUN pip3 install --force-reinstall "peft @ git+https://github.com/huggingface/peft.git@main" \
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RUN python3 -m pip install -U --no-cache-dir pydantic
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"accelerate @ git+https://github.com/huggingface/accelerate.git@main" \
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"transformers @ git+https://github.com/huggingface/transformers.git@main"
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RUN mkdir axolotl
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RUN mkdir axolotl
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COPY . axolotl/
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COPY . axolotl/
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# If AXOLOTL_EXTRAS is set, append it in brackets
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RUN cd axolotl && \
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RUN cd axolotl && \
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pip install -e .[int4]
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if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
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pip install -e .[$AXOLOTL_EXTRAS]; \
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else \
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pip install -e .; \
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fi
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# helper for huggingface-login cli
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# helper for huggingface-login cli
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RUN git config --global credential.helper store
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RUN git config --global credential.helper store
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@@ -9,7 +9,7 @@ ENV PATH="/root/miniconda3/bin:${PATH}"
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ARG PYTHON_VERSION="3.9"
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ARG PYTHON_VERSION="3.9"
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ARG PYTORCH="2.0.0"
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ARG PYTORCH="2.0.0"
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ARG CUDA="cu118"
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ARG CUDA="118"
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ENV PYTHON_VERSION=$PYTHON_VERSION
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ENV PYTHON_VERSION=$PYTHON_VERSION
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@@ -29,7 +29,7 @@ ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
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WORKDIR /workspace
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WORKDIR /workspace
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RUN python3 -m pip install --upgrade pip && pip3 install packaging && \
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RUN python3 -m pip install --upgrade pip && pip3 install packaging && \
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python3 -m pip install --no-cache-dir -U torch==${PYTORCH} torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA
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python3 -m pip install --no-cache-dir -U torch==${PYTORCH} torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu$CUDA
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FROM base-builder AS flash-attn-builder
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FROM base-builder AS flash-attn-builder
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@@ -61,12 +61,12 @@ RUN git clone https://github.com/microsoft/DeepSpeed.git && \
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FROM base-builder AS bnb-builder
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FROM base-builder AS bnb-builder
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WORKDIR /workspace
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WORKDIR /workspace
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ARG CUDA_VERSION_BNB="118"
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ARG CUDA="118"
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ENV CUDA_VERSION_BNB=$CUDA_VERSION_BNB
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ENV CUDA=$CUDA
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RUN git clone https://github.com/TimDettmers/bitsandbytes.git && \
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RUN git clone https://github.com/TimDettmers/bitsandbytes.git && \
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cd bitsandbytes && \
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cd bitsandbytes && \
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CUDA_VERSION=$CUDA_VERSION_BNB make cuda11x && \
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CUDA_VERSION=$CUDA make cuda11x && \
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python setup.py bdist_wheel
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python setup.py bdist_wheel
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FROM base-builder
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FROM base-builder
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@@ -93,9 +93,6 @@ COPY --from=flash-attn-builder /workspace/flash-attention/csrc/layer_norm/dist/d
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RUN pip3 install wheels/deepspeed-*.whl wheels/flash_attn-*.whl wheels/fused_dense_lib-*.whl wheels/xentropy_cuda_lib-*.whl wheels/rotary_emb-*.whl wheels/dropout_layer_norm-*.whl
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RUN pip3 install wheels/deepspeed-*.whl wheels/flash_attn-*.whl wheels/fused_dense_lib-*.whl wheels/xentropy_cuda_lib-*.whl wheels/rotary_emb-*.whl wheels/dropout_layer_norm-*.whl
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RUN cd /workspace/builds/bitsandbytes && python3 setup.py install
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RUN cd /workspace/builds/bitsandbytes && python3 setup.py install
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RUN git lfs install --skip-repo
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RUN git lfs install --skip-repo
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RUN pip3 install "peft @ git+https://github.com/huggingface/peft.git@main" \
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RUN pip3 install awscli && \
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"accelerate @ git+https://github.com/huggingface/accelerate.git@main" \
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"transformers @ git+https://github.com/huggingface/transformers.git@main" && \
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pip3 install awscli && \
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# The base image ships with `pydantic==1.8.2` which is not working
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# The base image ships with `pydantic==1.8.2` which is not working
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pip3 install -U --no-cache-dir pydantic
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pip3 install -U --no-cache-dir pydantic
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@@ -1,43 +0,0 @@
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#!/bin/bash
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export WANDB_MODE=offline
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export WANDB_CACHE_DIR=/workspace/data/wandb-cache
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mkdir -p $WANDB_CACHE_DIR
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mkdir -p /workspace/data/huggingface-cache/{hub,datasets}
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export HF_DATASETS_CACHE="/workspace/data/huggingface-cache/datasets"
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export HUGGINGFACE_HUB_CACHE="/workspace/data/huggingface-cache/hub"
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export TRANSFORMERS_CACHE="/workspace/data/huggingface-cache/hub"
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export NCCL_P2P_DISABLE=1
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nvidia-smi
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num_gpus=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l)
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gpu_indices=$(seq 0 $((num_gpus - 1)) | paste -sd "," -)
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export CUDA_VISIBLE_DEVICES=$gpu_indices
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echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
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apt-get update
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apt-get install -y build-essential ninja-build vim git-lfs
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git lfs install
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pip3 install --force-reinstall https://download.pytorch.org/whl/nightly/cu117/torch-2.0.0.dev20230301%2Bcu117-cp38-cp38-linux_x86_64.whl --index-url https://download.pytorch.org/whl/nightly/cu117
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if [ -z "${TORCH_CUDA_ARCH_LIST}" ]; then # only set this if not set yet
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# this covers most common GPUs that the installed version of pytorch supports
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# python -c "import torch; print(torch.cuda.get_arch_list())"
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export TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
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fi
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# install flash-attn and deepspeed from pre-built wheels for this specific container b/c these take forever to install
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mkdir -p /workspace/wheels
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cd /workspace/wheels
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curl -L -O https://github.com/OpenAccess-AI-Collective/axolotl/raw/wheels/wheels/deepspeed-0.9.2%2B7ddc3b01-cp38-cp38-linux_x86_64.whl
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curl -L -O https://github.com/OpenAccess-AI-Collective/axolotl/raw/wheels/wheels/flash_attn-1.0.4-cp38-cp38-linux_x86_64.whl
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pip install deepspeed-0.9.2%2B7ddc3b01-cp38-cp38-linux_x86_64.whl
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pip install flash_attn-1.0.4-cp38-cp38-linux_x86_64.whl
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pip install "peft @ git+https://github.com/huggingface/peft.git@main" --force-reinstall --no-dependencies
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cd /workspace/
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git clone https://github.com/OpenAccess-AI-Collective/axolotl.git
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cd axolotl
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pip install -e .[int4]
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mkdir -p ~/.cache/huggingface/accelerate/
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cp configs/accelerate/default_config.yaml ~/.cache/huggingface/accelerate/default_config.yaml
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4
setup.py
4
setup.py
@@ -19,10 +19,10 @@ setup(
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packages=find_packages(),
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packages=find_packages(),
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install_requires=install_requires,
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install_requires=install_requires,
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extras_require={
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extras_require={
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"int4": [
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"gptq": [
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"alpaca_lora_4bit @ git+https://github.com/winglian/alpaca_lora_4bit.git@setup_pip",
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"alpaca_lora_4bit @ git+https://github.com/winglian/alpaca_lora_4bit.git@setup_pip",
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],
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],
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"int4_triton": [
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"gptq_triton": [
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"alpaca_lora_4bit[triton] @ git+https://github.com/winglian/alpaca_lora_4bit.git@setup_pip",
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"alpaca_lora_4bit[triton] @ git+https://github.com/winglian/alpaca_lora_4bit.git@setup_pip",
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],
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],
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"extras": [
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"extras": [
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