# Copyright 2026 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Gemma 4 models with diffusion capabilities.""" from gemma.diffusion import _transformer as _diffusion_transformer from gemma.gm.nn.gemma4 import _gemma4 class DiffusionGemma_26B_A4B( # pylint: disable=invalid-name _gemma4.Gemma4_26B_A4B, _diffusion_transformer.DiffusionMixin ): """DiffusionGemma 26B_A4B model.""" self_conditioning_config: ( _diffusion_transformer.SelfConditioningConfig | None ) = None # So the last prefill KV is kept. Otherwise, indexes will be off by 1. keep_last_prefill_kv: bool = True def setup(self): super().setup() sc_config = self.self_conditioning_config if sc_config is None: sc_config = _diffusion_transformer.SelfConditioningConfig( features=self.config.embed_dim, hidden_dim=self.config.hidden_dim, ) self.self_conditioner = sc_config.make()