From ce8d6b75fc0586045df75ee1568a5b5f9957251b Mon Sep 17 00:00:00 2001 From: Reid <61492567+reidliu41@users.noreply.github.com> Date: Thu, 10 Apr 2025 21:02:37 +0800 Subject: [PATCH] [doc] update the wrong link (#16401) Signed-off-by: reidliu41 Co-authored-by: reidliu41 --- .github/ISSUE_TEMPLATE/600-new-model.yml | 2 +- docs/source/models/extensions/tensorizer.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/600-new-model.yml b/.github/ISSUE_TEMPLATE/600-new-model.yml index 713e76c1..5f0125ef 100644 --- a/.github/ISSUE_TEMPLATE/600-new-model.yml +++ b/.github/ISSUE_TEMPLATE/600-new-model.yml @@ -9,7 +9,7 @@ body: value: > #### Before submitting an issue, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/vllm-project/vllm/issues?q=is%3Aissue+sort%3Acreated-desc+). - #### We also highly recommend you read https://docs.vllm.ai/en/latest/contributing/model/adding_model.html first to understand how to add a new model. + #### We also highly recommend you read https://docs.vllm.ai/en/latest/contributing/model/index.html first to understand how to add a new model. - type: textarea attributes: label: The model to consider. diff --git a/docs/source/models/extensions/tensorizer.md b/docs/source/models/extensions/tensorizer.md index 830c579d..cd94c81e 100644 --- a/docs/source/models/extensions/tensorizer.md +++ b/docs/source/models/extensions/tensorizer.md @@ -9,7 +9,7 @@ shorter Pod startup times and CPU memory usage. Tensor encryption is also suppor For more information on CoreWeave's Tensorizer, please refer to [CoreWeave's Tensorizer documentation](https://github.com/coreweave/tensorizer). For more information on serializing a vLLM model, as well a general usage guide to using Tensorizer with vLLM, see -the [vLLM example script](https://docs.vllm.ai/en/stable/getting_started/examples/offline_inference/tensorize_vllm_model.html). +the [vLLM example script](https://docs.vllm.ai/en/latest/getting_started/examples/tensorize_vllm_model.html). :::{note} Note that to use this feature you will need to install `tensorizer` by running `pip install vllm[tensorizer]`.