- Your dedicated DevOps expert: Esper 3.1 maximizes DevOps and architecture helpfulness, powered by high-difficulty DevOps and architecture data generated with DeepSeek-V3.1-Terminus! - Improved coding performance: challenging code-reasoning datasets stretch DeepSeek-V3.1-Terminus and DeepSeek-V3.2 to the limits, allowing Esper 3.1 to tackle harder coding tasks! - AI to build AI: our high-difficulty AI expertise data boosts Esper 3.1's MLOps, AI architecture, AI research, and general reasoning skills.
We're working on more finetunes for the newest Qwen and Gemma models, and we've also started working on the agentic-first datasets for Esper 4 :) we're going to make open source better and better for your work!
Please note that real life financial and family concerns have popped up and have imposed unfortunate limitations on our ability to devote time to our open-source work :( If you would like to see Esper 4 and our other releases speed up instead of slowing down, this is the best way you can help us: sequelbox/SupportOpenSource
No matter what, we'll keep fighting and we won't give up!
For Gemma 4 31B: Guardpoint, our medical reasoning model, trained on medical knowledge, management, diagnosis, and tasks: - Structured medical reasoning responses are efficient and informative, cutting token costs for faster inference! - Wide-ranging knowledge base: trained on a wide variety of medical disciplines, patient types, and query structures! - High quality medical responses emphasize performance, brevity, specificity, statistical rationality, and openness.
For Gemma 4 E4B and E2B: Shining Valiant 3, our science-reasoning model! - Science-reasoning: physics, biology, chemistry, compsci, astronomy, Earth science, and information theory. - AI to build AI: high-quality reasoning performance on AI, MLOps, math and CUDA, complex adaptive and agentic systems, cognition, logic, linguistics, simulation, knowledge management, and more! - Supplemented creative reasoning and general chat performance.
We're working on several things - most excitingly, we've officially started the dataset curation process for Esper 4! We're focused on enhanced agentic capability and higher-dififculty, higher-value tasks this time, very excited to bring this to everyone when we can :)
Help support our releases, donations used for our experimental models and datasets: sequelbox/SupportOpenSource