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[Speculative decoding] Add serving benchmark for llama3 70b + speculative decoding #6964

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merged 2 commits into from
Jul 31, 2024

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cadedaniel
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  • Use turboderp/Qwama-0.5B-Instruct open model with QPS=2

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👋 Hi! Thank you for contributing to the vLLM project.
Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run fastcheck CI which consists a small and essential subset of CI tests to quickly catch errors. You can run other CI tests on top of default ones by unblocking the steps in your fast-check build on Buildkite UI.

Once the PR is approved and ready to go, please make sure to run full CI as it is required to merge (or just use auto-merge).

To run full CI, you can do one of these:

  • Comment /ready on the PR
  • Add ready label to the PR
  • Enable auto-merge.

🚀

@cadedaniel cadedaniel marked this pull request as ready for review July 30, 2024 23:20
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@comaniac comaniac left a comment

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LGTM

@cadedaniel cadedaniel requested a review from simon-mo July 30, 2024 23:23
@cadedaniel cadedaniel enabled auto-merge (squash) July 30, 2024 23:23
@github-actions github-actions bot added the ready ONLY add when PR is ready to merge/full CI is needed label Jul 30, 2024
@cadedaniel cadedaniel merged commit c32ab8b into vllm-project:main Jul 31, 2024
73 of 74 checks passed
kylesayrs pushed a commit to neuralmagic/vllm that referenced this pull request Aug 17, 2024
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4 participants