Update QAT docs, highlight axolotl integration #2266
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2266
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 14cc86d with merge base 63f2e51 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Thanks @SalmanMohammadi! Very excited to see this new integration!
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There's a section below that says "torchtune integration". Can you add a similar section for "Axolotl Integration" and add a small code snippet there?
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We've recently landed support for QAT and PTQ with ao in axolotl (axolotl-ai-cloud/axolotl#2590). Thanks again to @andrewor14 for helping out here.
This PR updates the QAT readme following the discussion in this PR. I would also be very grateful if you would allow us to showcase the integration of ao into axolotl in your OSS integrations section.