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Use NVFP4 Marlin for CompressedTensorsW4A16Fp4 #18000
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Signed-off-by: mgoin <[email protected]>
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👋 Hi! Thank you for contributing to the vLLM project. 💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels. Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run 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 either: Add 🚀 |
Signed-off-by: Dipika <[email protected]>
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Evals - Using CT with NVFp4A16 for a LLama 3.1 8b: |
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Nice
Signed-off-by: mgoin <[email protected]> Signed-off-by: Dipika <[email protected]> Co-authored-by: Dipika <[email protected]>
Signed-off-by: mgoin <[email protected]> Signed-off-by: Dipika <[email protected]> Co-authored-by: Dipika <[email protected]> Signed-off-by: Yuqi Zhang <[email protected]>
Update CT FP4 weight only path to use the nvfp4 dense marlin kernels from #17687 and remove slow emulation