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[pre-commit.ci] pre-commit autoupdate #29

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[pre-commit.ci] pre-commit autoupdate #29

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be7973d
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Mar 3, 2025
07cb4f9
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Mar 3, 2025
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4 changes: 2 additions & 2 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
@@ -1,12 +1,12 @@
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.6.0
rev: v5.0.0
hooks:
- id: check-yaml
- id: end-of-file-fixer
- id: trailing-whitespace
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.6.4
rev: v0.9.9
hooks:
- id: ruff
args: [--fix]
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2 changes: 1 addition & 1 deletion Dockerfile
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Expand Up @@ -15,4 +15,4 @@ RUN pip3 install --no-cache-dir -r requirements.txt
# Copy the rest of the application code
COPY . .

CMD ["python", "full_automation.py"]
CMD ["python", "full_automation.py"]
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -87,4 +87,4 @@ curl --location 'https://fed-ledger-prod.flock.io/api/v1/tasks/submit-result' \
- `hg_repo_id`: The Hugging Face repository where the model is stored, typically in the format `username/repository-name`.
- `base_model`: The base model used for training. A list of all supported models can be found [here](https://github.com/FLock-io/llm-loss-validator/blob/main/src/core/constant.py).
- `gpu_type`: The type of GPU used for training the model.
- `revision`: The commit hash from the Hugging Face repository. This uniquely identifies the version of the model that was trained and submitted, allowing for precise tracking of changes and updates.
- `revision`: The commit hash from the Hugging Face repository. This uniquely identifies the version of the model that was trained and submitted, allowing for precise tracking of changes and updates.
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