-
-
Notifications
You must be signed in to change notification settings - Fork 5.8k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Model] Add support for H2OVL-Mississippi models #9747
Conversation
👋 Hi! Thank you for contributing to the vLLM project. Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging. To run CI, PR reviewers can do one of these:
🚀 |
30ba48f
to
2dfd320
Compare
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Some initial comments about twice image processing. Seems that load_image1
/load_image2
and dynamic_preprocess1
/dynamic_preprocess2
are a little bit duplicated.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Hello @cooleel! Thank you for making this contribution!
Please take a look at the comments, especially those regarding how we should avoid double image processing calls.
Thanks for the careful review and insightful comments. |
ba3df5b
to
efbcd2c
Compare
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
…ant image preprocessing calls Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
efbcd2c
to
0473d10
Compare
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Code was formatted by format.sh. but still failed in yapf. mentioned in #9890 |
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
cb3bc8b
to
31ece38
Compare
Hi, @ywang96 I've updated this branch with the latest changes from the main branch. Let me know if you encounter any issues in tests or if there's anything else I can assist with. Thank you for your time and help! |
…nto h2ovl-mississippi
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
@cooleel Thanks for your contribution! I updated this PR so that it should work properly now with image embeddings as input. Otherwise everything looks good to me!
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]> Signed-off-by: Linkun Chen <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]> Signed-off-by: Richard Liu <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]> Signed-off-by: Loc Huynh <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]> Signed-off-by: Sumit Dubey <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]> Signed-off-by: Maxime Fournioux <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]> Signed-off-by: Tyler Michael Smith <[email protected]>
Signed-off-by: Shanshan Wang <[email protected]> Signed-off-by: Roger Wang <[email protected]> Co-authored-by: Roger Wang <[email protected]>
FILL IN THE PR DESCRIPTION HERE
FIX #xxxx (link existing issues this PR will resolve)
This PR adds support for H2OVL-Mississippi series models:
Collection: https://huggingface.co/collections/h2oai/h2ovl-mississippi-66e492da45da0a1b7ea7cf39
h2oai/h2ovl-mississippi-800m: https://huggingface.co/h2oai/h2ovl-mississippi-800m
h2oai/h2ovl-mississippi-2b: https://huggingface.co/h2oai/h2ovl-mississippi-2b
The closest model vllm already supports.
https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/internvl.py
PR Checklist (Click to Expand)
Thank you for your contribution to vLLM! Before submitting the pull request, please ensure the PR meets the following criteria. This helps vLLM maintain the code quality and improve the efficiency of the review process.
PR Title and Classification
Only specific types of PRs will be reviewed. The PR title is prefixed appropriately to indicate the type of change. Please use one of the following:
[Bugfix]
for bug fixes.[CI/Build]
for build or continuous integration improvements.[Doc]
for documentation fixes and improvements.[Model]
for adding a new model or improving an existing model. Model name should appear in the title.[Frontend]
For changes on the vLLM frontend (e.g., OpenAI API server,LLM
class, etc.)[Kernel]
for changes affecting CUDA kernels or other compute kernels.[Core]
for changes in the core vLLM logic (e.g.,LLMEngine
,AsyncLLMEngine
,Scheduler
, etc.)[Hardware][Vendor]
for hardware-specific changes. Vendor name should appear in the prefix (e.g.,[Hardware][AMD]
).[Misc]
for PRs that do not fit the above categories. Please use this sparingly.Note: If the PR spans more than one category, please include all relevant prefixes.
Code Quality
The PR need to meet the following code quality standards:
format.sh
to format your code.docs/source/
if the PR modifies the user-facing behaviors of vLLM. It helps vLLM user understand and utilize the new features or changes.Adding or changing kernels
Each custom kernel needs a schema and one or more implementations to be registered with PyTorch.
Tensors
require meta-functions. Meta-functions should be implemented and registered in python so that dynamic dims can be handled automatically. See above documents for a description of meta-functions.torch.libary.opcheck()
to test the function registration and meta-function for any registered ops. Seetests/kernels
for examples.Notes for Large Changes
Please keep the changes as concise as possible. For major architectural changes (>500 LOC excluding kernel/data/config/test), we would expect a GitHub issue (RFC) discussing the technical design and justification. Otherwise, we will tag it with
rfc-required
and might not go through the PR.What to Expect for the Reviews
The goal of the vLLM team is to be a transparent reviewing machine. We would like to make the review process transparent and efficient and make sure no contributor feel confused or frustrated. However, the vLLM team is small, so we need to prioritize some PRs over others. Here is what you can expect from the review process:
action-required
label on the PR if there are changes required. The contributor should address the comments and ping the reviewer to re-review the PR.Thank You
Finally, thank you for taking the time to read these guidelines and for your interest in contributing to vLLM. Your contributions make vLLM a great tool for everyone!