DiffuSpace Open-Sources Clover-35B-A3B-Preview Diffusion Language Model
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AI lab DiffuSpace has released Clover-35B-A3B-Preview, the first model in the Clover series, built on a MoE architecture and open-sourced under the Apache license. The model generates results through multiple rounds of iterative generation; DiffuSpace claims it outperforms the same-scale autoregressive model Qwen3.6-35B-A3B on multiple benchmarks while maintaining faster generation speeds, and is particularly strong at agentic coding and tool-use tasks.
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The original text presents a comparison between a diffusion language model at the 35B-parameter MoE scale and autoregressive models of the same scale, which can serve as a reference for judging the feasibility of this technical approach.
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DiffuSpace 推出 Clover-35B-A3B-Preview 扩散语言模型，兼顾性能与速度
2026-10-29 22:33 IT之家 - 溯波（实习）
IT之家 10 月 29 日消息，人工智能实验室扩散智能 (DiffuSpace) 昨日发布了其 Clover（三叶草）系列模型家族的首个成员：Clover-35B-A3B-Preview，并以 Apache 许可开源。
Clover-35B-A3B-Preview 是一款采用 MoE 架构的扩散语言模型。与传统自回归模型不同的是，其具备“全局思维”，通过多轮迭代实现结果的从模糊到具体。
DiffuSpace 表示，Clover-35B-A3B-Preview 的诞生证明扩散语言模型能在更大的参数尺度下与自回归模型竞争甚至略胜一筹，同时保持更快生成速度。
该模型在多项基准测试中性能超过同规模的自回归模型 Qwen3.6-35B-A3B，尤其擅长智能体编程与工具使用任务。
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