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Add logo and polish readme - #156

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Jun 19, 2023
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Note: I imported github's default gitignore from here

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@WoosukKwon

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I made some suggestions in #159

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Thanks for your effort.

@zhuohan123
zhuohan123 merged commit a255885 into main Jun 19, 2023
@zhuohan123
zhuohan123 deleted the logo-and-update-readme branch June 20, 2023 03:15
hongxiayang pushed a commit to hongxiayang/vllm that referenced this pull request Feb 13, 2024
yukavio pushed a commit to yukavio/vllm that referenced this pull request Jul 3, 2024
Summary:
This PR removes the following benchmarking runs,
 - Sparse 2:4 : prompts 300, qps 1
 - Sparse 50 % : prompts 150, qps 0.5

Nightlies that reported flakiness / regression:
-
https://github.com/neuralmagic/nm-vllm/actions/runs/8444603631/job/23138489705
-
https://github.com/neuralmagic/nm-vllm/actions/runs/8475302354/job/23229958270
-
https://github.com/neuralmagic/nm-vllm/actions/runs/8486867771/job/23258658412

On the nightlies we trigger a perf. regression alert when the value
change is more than 10%. For the cases being removed, the variance is in
the range of [10% - 20%]

Test:
None

Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
iwooook pushed a commit to moreh-dev/vllm that referenced this pull request Nov 29, 2025
* Fix remaining issues with upstream rebase to Apr 16, add python3.9+ requirement, upgrade torch dependencies

Signed-off-by: Salar Hosseini <skhorasgani@tenstorrent.com>
(cherry picked from commit 0854f384f48cd4e8efeeece34ba33c25fea316c0)

* Replace custom platform-specific request validation with new version from upstream

Signed-off-by: Salar Hosseini <skhorasgani@tenstorrent.com>
(cherry picked from commit 33a33d0b0bb46bbc04910082b4ada69edd07c936)

* Add Qwen VL test option to offline_inference_tt.py

Signed-off-by: Salar <skhorasgani@tenstorrent.com>

* `offline_inference_tt.py`: Add customized input_processor for Qwen2.5-VL; added batch_size test case.

* Use local files for testing; update model_name checking to allow passing a model path.

* Remove previous hack that injects input_processor in favor of vLLM's cached `get_hf_processor`.

* Add support for loading prompts from JSON file for Qwen2.5-VL

* Add `Qwen2.5-VL-72B-Instruct` to the list of supported models

* Add separate sever example for qwen25-vl

* work around device API change

* support one user for now

* Update offline_inference for Qwen2.5-VL

* remove bad merging blobs

* remove unintended extra white space

* Remove unintended white space

* `pre-commit run --show-diff-on-failure --color=always --all-files --hook-stage manual`

* Fix linter error

* revert to original code for mode name checking.

* Fix --measure_perf mode in offline_inference_tt.py

* Fix linter error

* Update variable name

* Fix more linter error

* Fix even more linter errors

---------

Signed-off-by: Salar Hosseini <skhorasgani@tenstorrent.com>
Signed-off-by: Salar <skhorasgani@tenstorrent.com>
Co-authored-by: Salar Hosseini <skhorasgani@tenstorrent.com>
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2 participants