mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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1c1e48a570
This pull request increases the shm_size parameter in docker-compose.yml to 16GB. The goal is to enhance the LLaMA-Factory framework’s performance for large model fine-tuning tasks by providing sufficient shared memory for efficient data loading and parallel processing. This PR also addresses the issues discussed in [this comment](https://github.com/hiyouga/LLaMA-Factory/issues/4316#issuecomment-2466270708) regarding Shared Memory Limit error. Former-commit-id: 64414905a3728abf3c51968177ffc42cfc653310
38 lines
944 B
YAML
38 lines
944 B
YAML
services:
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llamafactory:
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build:
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dockerfile: ./docker/docker-cuda/Dockerfile
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context: ../..
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args:
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INSTALL_BNB: false
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INSTALL_VLLM: false
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INSTALL_DEEPSPEED: false
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INSTALL_FLASHATTN: false
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INSTALL_LIGER_KERNEL: false
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INSTALL_HQQ: false
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INSTALL_EETQ: false
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PIP_INDEX: https://pypi.org/simple
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container_name: llamafactory
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volumes:
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- ../../hf_cache:/root/.cache/huggingface
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- ../../ms_cache:/root/.cache/modelscope
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- ../../om_cache:/root/.cache/openmind
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- ../../data:/app/data
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- ../../output:/app/output
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ports:
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- "7860:7860"
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- "8000:8000"
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ipc: host
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tty: true
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shm_size: '16gb'
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stdin_open: true
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command: bash
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: "all"
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capabilities: [gpu]
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restart: unless-stopped
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