Paper page - Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work

Source: https://huggingface.co/papers/2609.11977 Published on Sep 4

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Submitted byhttps://huggingface.co/junboolee

Junboon Sep 14

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Abstract

Occamy-1.0 is a cost-efficient co-work agent model that achieves strong performance on complex multi-step tasks while maintaining broad agentic capabilities at lower cost.

Co-work agentsexecute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumulate over the full episode, their practical value depends not only on peak capability but also on how efficiently that capability is delivered. Yet many steps in everyday work emphasize state tracking, coordination, recovery, and follow-through rather than frontier-scale reasoning. We present Occamy-1.0, a cost-efficient co-work model obtained by further training the post-trained Qwen3.6-35B-A3B checkpoint. We constructexecution-grounded dataand environments, capturereplayable long-horizon trajectoriesacross multiple harnesses, and usestaged post-trainingto develop and consolidate complementary execution capabilities. Across a broad suite of co-work benchmarks, Occamy-1.0 is consistently among the strongest comparably sized models and remains competitive with substantially larger frontier systems on several tasks. Under our stated evaluation and pricing protocol, its aggregate performance across four representative benchmarks places it at the low-cost knee of the observed cost--performance Pareto frontier. Supporting evaluations intool calling, coding, and instruction following further show that this specialization preserves broad agentic capability. We release the model weights and a subset of the training data to support research on practicalco-work agentsandagentic post-training.

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#### Accio-Lab/occamy-1.0 Image-Text-to-Text• 35B• Updatedabout 22 hours ago • 956 • 24

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