[Discrete Diffusion] Add LLaDA2 pipeline#13226
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kashif wants to merge 4 commits intohuggingface:mainfrom
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[Discrete Diffusion] Add LLaDA2 pipeline#13226kashif wants to merge 4 commits intohuggingface:mainfrom
kashif wants to merge 4 commits intohuggingface:mainfrom
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…usion Add support for LLaDA2/LLaDA2.1 discrete diffusion text generation: - BlockRefinementPipeline: block-wise iterative refinement with confidence-based token commitment, supporting editing threshold for LLaDA2.1 models - LLaDA2Pipeline: convenience wrapper with LLaDA2-specific defaults - DiscreteDiffusionPipelineMixin: shared SAR sampling utilities (top-k, top-p, temperature) and prompt/prefix helpers - compute_confidence_aware_loss: CAP-style training loss - Examples: sampling scripts for LLaDA2 and block refinement, training scripts with Qwen causal LM - Docs and tests included
Extract the confidence-based token commit logic from BlockRefinementPipeline into a dedicated BlockRefinementScheduler, following diffusers conventions. The scheduler owns: - Transfer schedule computation (get_num_transfer_tokens) - Timestep management (set_timesteps) - Step logic: confidence-based mask-filling and optional token editing The pipeline now delegates scheduling to self.scheduler.step() and accepts a scheduler parameter in __init__.
12 tests covering set_timesteps, get_num_transfer_tokens, step logic (confidence-based commits, threshold behavior, editing, prompt masking, batched inputs, tuple output).
- Add BlockRefinement and LLaDA2 to docs sidebar navigation - Add BlockRefinementScheduler to schedulers sidebar navigation - Move scheduler autodoc to its own page under api/schedulers/
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Add support for LLaDA2/LLaDA2.1 discrete diffusion text generation:
What does this PR do?
Fixes # (issue)
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