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DiffuSpace open-sources Clover-35B-A3B diffusion model for agents and coding

By PulseAugur Editorial · [1 sources] ·

DiffuSpace has released Clover-35B-A3B-Preview, a 35-billion parameter Mixture-of-Experts diffusion language model. This model is designed for agent tasks and coding, achieving a score of 73.6 on SWE-bench Verified and processing 515 tokens per second on agent tasks using an H200 GPU. AI

IMPACT This release provides a new open-source model for agent and coding tasks, potentially advancing research and development in these areas.

RANK_REASON The cluster reports on the open-sourcing of a new language model with specific performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DiffuSpace open-sources Clover-35B-A3B diffusion model for agents and coding

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30 / 100
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The cluster reports on the open-sourcing of a new language model with specific performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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COVERAGE [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    DiffuSpace Open-Sources Clover-35B-A3B, a Diffusion Language Model Built for Agents and Coding

    DiffuSpace has open-sourced Clover-35B-A3B-Preview, a 35B-parameter MoE diffusion language model. The team reports 73.6 on SWE-bench Verified and 515 tokens/s on one H200 in agent tasks.

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