[Doc] Add USE_MODELSCOPE_HUB=0 to lm-eval guide (#7279)
## Summary
- Add `USE_MODELSCOPE_HUB=0` to both Online and Offline lm-eval sections
- Add explanatory notes about Docker containers launching with
`VLLM_USE_MODELSCOPE=True`
The Docker containers set `VLLM_USE_MODELSCOPE=True`, which causes
lm-eval to download datasets from ModelScope instead of HuggingFace,
resulting in "Repo not exists" errors. Setting `USE_MODELSCOPE_HUB=0`
disables this behavior.
Fixes #607
- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
Signed-off-by: bazingazhou233-hub <bazingazhou233-hub@users.noreply.github.com>
Co-authored-by: bazingazhou233-hub <bazingazhou233-hub@users.noreply.github.com>
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@@ -106,9 +106,17 @@ Install lm-eval in the container:
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```bash
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export HF_ENDPOINT="https://hf-mirror.com"
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export USE_MODELSCOPE_HUB=0
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pip install lm-eval[api]
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```
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:::{note}
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The Docker container is launched with `VLLM_USE_MODELSCOPE=True`, which may
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cause lm-eval to download datasets from ModelScope instead of HuggingFace.
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Setting `USE_MODELSCOPE_HUB=0` disables this behavior so that lm-eval can
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fetch datasets from HuggingFace correctly.
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:::
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Run the following command:
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```shell
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@@ -170,9 +178,17 @@ Install lm-eval in the container:
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```bash
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export HF_ENDPOINT="https://hf-mirror.com"
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export USE_MODELSCOPE_HUB=0
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pip install lm-eval
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```
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:::{note}
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The Docker container is launched with `VLLM_USE_MODELSCOPE=True`, which may
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cause lm-eval to download datasets from ModelScope instead of HuggingFace.
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Setting `USE_MODELSCOPE_HUB=0` disables this behavior so that lm-eval can
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fetch datasets from HuggingFace correctly.
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:::
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Run the following command:
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```shell
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