Training SFT learning rate scheduler documentation Documented learning rate scheduler settings for supervised...
UpdateUnverifiedAdded Sep 24, 2026
Training SFT learning rate scheduler documentation Documented learning rate scheduler settings for supervised fine-tuning jobs, including constant , linear , and cosine schedules via firectl and the REST API lrScheduler object.
Topics: Developer tools
More Fireworks AI platform releases
Every Fireworks AI platform release| Date | Release | Type |
|---|---|---|
| Jun 20 | Recommended migrationsunverified Update | Update |
| Jun 20 | Inference Serverless deprecation: MiniMax M2.5 MiniMax M2.5 is deprecated from serverlessunverified Deprecation | Deprecation |
| Aug 15 | Inference Serverless deprecation: DeepSeek V4 Flash DeepSeek V4 Flash is deprecated from serverlessunverified Deprecation | Deprecation |
| Aug 25 | Platform SSO documentation: IdP-initiated SAML Updated the Custom SSO guideunverified Update | Update |
| Aug 28 | Training Serverless Training deprecation: Qwen 3.5 9B and Qwen 3.6 27B Qwen 3.5 9B and Qwen 3.6 27B are...unverified Deprecation | Deprecation |
| Aug 29 | Recommended migrationsunverified Update | Update |
| Aug 31 | Training New Serverless Training models: DeepSeek V4 Flash 0731, Qwen 3.8 27B, and Muse Glimmer 30B The...unverified Update | Update |
| Sep 1 | Inference Serverless rate limit ceilings now scale by model size Serverless adaptive rate limit ceilings now...unverified Update | Update |
Also shipped on Jul 17, 2026
Fireworks AI in July 2026Sources: each vendor's own release notes, changelogs and GitHub releases, read daily to monthly by how often it posts. Logos via logo.dev; trademarks belong to their owners.