- Esper is our full-stack, full-cycle coding, DevOps, and architecture specialist! - Our newest, best DeepSeek technical datasets emphasize more challenging queries and tough real-world coding tasks across a variety of programming languages and development paradigms: - Titanium 3 for coding and reasoning in DevOps and architecture: sequelbox/Titanium3-DeepSeek-V3.1-Terminus - Tachibana 3 for high-difficulty code production in a variety of topics and programming languages: - sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus - sequelbox/Tachibana3-Part2-DeepSeek-V3.2 - Mitakihara for MLOps, AI building, use, expertise, and research: sequelbox/Mitakihara-DeepSeek-R1-0528
We'll have more releases of Esper coming up, plus more experimental open-source releases :) find open source datasets and experimental models at @sequelbox
- Esper is our full-stack, full-cycle coding, DevOps, and architecture specialist! - Our newest, best DeepSeek technical datasets emphasize more challenging queries and tough real-world coding tasks across a variety of programming languages and development paradigms: - Titanium 3 for coding and reasoning in DevOps and architecture: sequelbox/Titanium3-DeepSeek-V3.1-Terminus - Tachibana 3 for high-difficulty code production in a variety of topics and programming languages: - sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus - sequelbox/Tachibana3-Part2-DeepSeek-V3.2 - Mitakihara for MLOps, AI building, use, expertise, and research: sequelbox/Mitakihara-DeepSeek-R1-0528
- Our newest Experimental Reasoning Modality release: create Discrete Event Simulations using SimPy to provide analysis and insight into your queries and situations! - Multi-step analysis identifies the structure of the situation and the goal of simulation before proceeding to analysis and creating SimPy simulation code and analysis chat. - DES Reasoning Format provides clear, readable Python code that is easy to read and modify; easy to use for running simulations, doing analysis, or further conversation with your assistant. - Trained in a variety of subjects for flexible analysis: programming, science, business, economics, energy, finance, law, logistics, management, manufacturing, operations, supply chain and more!
We've brought DAG Reasoning to gpt-oss-20b and Qwen3-4B-Thinking-2507!
- DAG Reasoning is the first model in our Experimental Reasoning Modalities series: use it to create structured, analytical Directed Acyclic Graphs to provide insight into your queries and situations! - Multi-step analysis identifies causal relationships, produces confidence measurements, and forms a single structured graph object. - DAG Reasoning Format provides clear, readable JSON containing structured, useful information; easy to use for creating visualizations, doing analysis, or further conversation with your assistant. - Trained in a variety of subjects for flexible analysis: programming, science, business, economics, finance, law, logistics, management, and more!
Our upcoming releases, coming soon with your support: - bringing Shining Valiant 3 to the Qwen 3 2507 series! - our next release in the Experimental Reasoning Modalities series - we're hard at work on this right now! - we'll be upgrading the Esper line with Esper 3.1 - newer and better datasets, asking tougher and deeper coding, DevOps, and architecture questions, plus improvements to general chat!
NEW RELEASE: Shining Valiant 3 now available for openai/gpt-oss-20b!
- Cutting edge science-reasoning: sequelbox/Celestia3-DeepSeek-R1-0528 for physics, biology, chemistry, compsci, astronomy, Earth science, and information theory. - AI to build AI: the all-new sequelbox/Mitakihara-DeepSeek-R1-0528 dataset for high-quality reasoning performance on AI, MLOps, math and CUDA, complex adaptive and agentic systems, cognition, logic, linguistics, simulation, knowledge management, and more! - Creative reasoning and general chat performance supplemented with sequelbox/Raiden-DeepSeek-R1
- Our first Experimental Reasoning Modality release: create structured, analytical Directed Acyclic Graphs to provide insight into your queries and situations! - Multi-step analysis identifies causal relationships, produces confidence measurements, and forms a single structured graph object. - DAG Reasoning Format provides clear, readable JSON containing structured, useful information; easy to use for creating visualizations, doing analysis, or further conversation with your assistant. - Trained in a variety of subjects for flexible analysis: programming, science, business, economics, finance, law, logistics, management, and more!