Add docker advanced instruction to README (#792)

This commit is contained in:
Aleksa Gordić
2023-10-27 14:24:04 +01:00
committed by GitHub
parent facc49f32b
commit 2e71ff03a6

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@@ -114,6 +114,25 @@ accelerate launch -m axolotl.cli.inference examples/openllama-3b/lora.yml \
docker compose up -d
```
<details>
<summary>Docker advanced</summary>
A more powerful Docker command to run would be this:
```bash
docker run --gpus '"all"' --rm -it --name axolotl --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 --mount type=volume,src=axolotl,target=/workspace/axolotl -v ${HOME}/.cache/huggingface:/root/.cache/huggingface winglian/axolotl:main-py3.10-cu118-2.0.1
```
It additionally:
* Prevents memory issues when running e.g. deepspeed (e.g. you could hit SIGBUS/signal 7 error) through `--ipc` and `--ulimit` args.
* Persists the downloaded HF data (models etc.) and your modifications to axolotl code through `--mount`/`-v` args.
* The `--name` argument simply makes it easier to refer to the container in vscode (`Dev Containers: Attach to Running Container...`) or in your terminal.
[More information on nvidia website](https://docs.nvidia.com/deeplearning/frameworks/user-guide/index.html#setincshmem)
</details>
#### Conda/Pip venv
1. Install python >=**3.9**