ValiantLabs/gemma-4-12B-it-Esper4
ValiantLabs/gemma-4-12B-it-Esper4 is a 12 billion parameter instruction-tuned model built on Gemma 4, developed by Valiant Labs. It specializes in agentic coding, architecture, DevOps, and MLOps tasks, leveraging high-difficulty training data in these domains. This model is optimized for complex technical problem-solving and AI development, designed for efficient inference on local and server environments with a 32768 token context length.
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Esper 4: Agentic Specialist for DevOps, MLOps, and Coding
Esper 4 is a 12 billion parameter model from Valiant Labs, fine-tuned on the Gemma 4 architecture. It is specifically designed as an agentic expert in several technical domains, including coding, software architecture, DevOps, and MLOps. The model's specialization is driven by its training on unique, high-difficulty datasets.
Key Capabilities
- DevOps and Architecture Expertise: Maximizes helpfulness in DevOps and architecture tasks, powered by challenging data generated with DeepSeek-V4-Pro.
- Improved Coding Performance: Tackles complex coding challenges through training on advanced agentic coding queries.
- AI Development Focus: Enhanced for AI development, research, deployment, interpretability, operation, and experimentation using high-difficulty AI coding and expertise data.
- Efficient Inference: Its relatively small size allows for execution on local desktops and mobile devices, as well as super-fast server inference.
Use Cases
Esper 4 is suitable for developers and engineers requiring a dedicated assistant for:
- Generating complex code solutions, particularly in agentic frameworks.
- Designing and optimizing software architectures.
- Automating and managing DevOps pipelines.
- Assisting with MLOps workflows and AI development tasks.
It utilizes the standard gemma-4-12B-it prompt format and can be integrated into agentic frameworks or used as a standalone chat and code assistant.