v0.25.0

Summary:

New Models:

We've integrated new open-weight models to expand the capabilities of KerasHub, featuring specialized tools for function calling and safety, as well as high-performance open-source reasoning models:

• FunctionGemma: We have added support for FunctionGemma, a lightweight model from Google built on the Gemma 3 270M architecture. Designed specifically for text-only function calling, this model is optimized for single-turn scenarios and deployment in resource-constrained environments.
• GPT OSS: We have integrated OpenAI’s gpt-oss family, including the 20B and 120B parameter variants. These models utilize a Mixture-of-Experts (MoE) architecture with a 128k token context window, optimized for STEM, coding, and general reasoning tasks.
• GPT OSS Safeguard: A new open-weight safety reasoning model from OpenAI. Built upon the GPT OSS architecture, it enables adaptable content classification and input-output filtering based on custom safety policies.

What's Changed

• Add Gemma3 Conversion script to port weights from HF directly by @laxmareddyp in #2445
• Fix ESM attention for TFLite compatibility by @pctablet505 in #2466
• Fix PARSeq decoder for TFLite compatibility by @pctablet505 in #2467
• Fix SAM tests to make it work with Keras master by @abheesht17 in #2469
• Generated GPT_OSS model files through porter script. by @laxmareddyp in #2384
• Register OpenAI GPT-OSS and GPT-OSS-SAFEGUARD Presets to kerashub. by @laxmareddyp in #2473
• Update latest synced models by @sachinprasadhs in #2475
• Version bump to 0.25.0.dev0 by @sachinprasadhs in #2478
• Version bump 0.25.0 by @sachinprasadhs in #2481

Full Changelog: v0.24.0...v0.25.0