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dots3-note: 280B Open Agentic Model Goes Local
dots-studio released the dots3-note preview, a 280B open multimodal MoE model for long-horizon agentic tasks. It was quickly integrated into llama.cpp for local runs, scoring 78.4 on SWE-bench.
2026-08-16 ~ 2026-08-17 · 2 episodes · 5 posts
Episode 1 · llama.cpp adds Dots3 Note model with SWE-bench 78.4 score (2026-08-16, 2 posts)
llama.cpp integrated the dots3-note-prev model (280B/16B active), which achieved a 78.4 score on SWE-bench Verified. The model, released by dots-studio for local execution, features DSA (Dense Sparse Attention) and SW optimizations.
- llama.cpp integrates Dots3 Note model, scoring 78.4 on SWE-bench Verified — victormustar · 2026-08-16
- dots3-note-prev model released: SWE-bench 78.4, designed for local use — victormustar · 2026-08-16
Episode 2 · dots3-note Preview: 280B Open Multimodal Model for Long-Horizon Agents (2026-08-17, 3 posts)
dots3-note preview is an open-weight 280B-parameter (16B active) multimodal MoE model for long-horizon agents, introducing TEMPO, a reinforcement learning method using self-critique and time-scaled value estimation for long-horizon training.
- Preview dots3-note: 280B open-weight multimodal model with 512K context — Aiden_Tech_Ai · 2026-08-17
- dots3-note: 280B MoE agent learns memory via RL — Aiden_Tech_Ai · 2026-08-17
- dots3-note Preview: 280B Open-Source Multimodal Model for Agency — iamrobotbear · 2026-08-17