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README.md

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+---
+library_name: diffusers
+---
+`diffusers`-native checkpoint for the [google/diffusiongemma-26B-A4B-it](https://huggingface.co/google/diffusiongemma-26B-A4B-it) discrete diffusion LLM.
+
+You can use the model as follows. Note that you need `transformers>=5.12.0` for the underlying `DiffusionGemmaForBlockDiffusion` model.
+
+```python
+import torch
+from diffusers import DiffusionGemmaPipeline
+
+pipe = DiffusionGemmaPipeline.from_pretrained(
+    "dg845/DiffusionGemma-diffusers",
+    torch_dtype=torch.bfloat16,
+)
+pipe.to("cuda")
+
+# Compile the decoder model for faster inference
+pipe.model.model.decoder = torch.compile(pipe.model.model.decoder, mode="reduce-overhead"),
+
+output = pipe(
+    prompt="Why is the sky blue?",
+    gen_length=256,
+    num_inference_steps=48,
+    cache_implementation="static",
+    generator=torch.Generator("cuda").manual_seed(42),
+)
+print(output.texts[0])
+```