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Diffusion Intelligence Releases Clover-35B-A3B-Preview

1 reports 1 reporting sources Updated 4 days ago

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扩散智能 has released Clover-35B-A3B-Preview, a diffusion language model with 35 billion total parameters, approximately 3 billion active parameters per token, and support for thinking mode. It uses block diffusion, combining parallel updates within blocks with compressed historical context. In team-reported WindTunnel results covering 49 tasks with 3 attempts each, Clover recorded a median execution time of 1.52 seconds and a 98.6% success rate, compared with 3.21 seconds and 95.9% for Jev + Mercury 2.5. Access: https://diffuspace.ai/register

From 量子位

Latest development10/29 10:18 (UTC+8)
扩散智能 releases Clover-35B-A3B-Preview diffusion language model for coding and agent tasks量子位

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10/29
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    扩散智能 releases Clover-35B-A3B-Preview diffusion language model for coding and agent tasks

    扩散智能 has released Clover-35B-A3B-Preview, a diffusion language model with 35 billion total parameters, approximately 3 billion active parameters per token, and support for thinking mode. It uses block diffusion, combining parallel updates within blocks with compressed historical context. In team-reported WindTunnel results covering 49 tasks with 3 attempts each, Clover recorded a median execution time of 1.52 seconds and a 98.6% success rate, compared with 3.21 seconds and 95.9% for Jev + Mercury 2.5. Access: https://diffuspace.ai/register

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