StudioDiffuSpace releases Clover-35B-A3B-Preview, its first open-source diffusion language model
Original title: Diffuspace/Clover-35B-A3B-Preview · Hugging Face
DiffuSpace released Clover-35B-A3B-Preview, its first open-source diffusion language model, built on a Qwen3.6-35B-A3B MoE backbone adapted for text-only block diffusion generation, with the launch blog claiming state-of-the-art results among open-source diffusion LLMs at release. It retains the hybrid Gated DeltaNet/full-attention MoE backbone (40 layers, 256 routed experts, top-8 routing plus a shared expert), with 35B total parameters, about 3B active per token, and a 128K (131,072) context window. Inference uses block diffusion with LowConfidence decoding (defaults block_size=32, threshold=0.95), includes repetition and soft length/think-end controls; BF16 weights need about 69 GB, with self-speculative decoding available in SGLang and llama.cpp implementations.
The model card details the architecture, decoding defaults, and memory footprint, letting readers gauge the practical deployment cost of this open-source diffusion LLM.
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