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Ports llama3 support from vLLM. I used the offline inference script to test llama2, llama3,3.1,3.2 (only text variants, not multi-modal) and other models too for backwards compatibility.
BEFORE SUBMITTING, PLEASE READ THE CHECKLIST BELOW AND FILL IN THE DESCRIPTION ABOVE
PR Checklist (Click to Expand)
Thank you for your contribution to Vidur! Before submitting the pull request, please ensure the PR meets the following criteria. This helps Vidur 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.[Profiling]
For changes on the profiling module.[Core]
for changes in the core simulator logic[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:
make format
to format your code.docs/source/
if the PR modifies the user-facing behaviors of Vidur. It helps user understand and utilize the new features or changes.Notes for Large Changes
Please keep the changes as concise as possible. For major architectural changes (>500 LOC), 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.Thank You
Finally, thank you for taking the time to read these guidelines and for your interest in contributing to Vidur. Your contributions make Vidur a great tool for everyone!