OpenFlow Freeform (31B P)
OpenFlow Freeform is a state-of-the-art 31-billion parameter open-weights foundation model developed by OpenFlow, a subsidiary of TreyPrograms INC. Engineered to bridge the gap between heavy reasoning engines and high-speed edge deployments, OpenFlow Freeform is optimized for dynamic task switching, structured data manipulation, and adaptive text synthesis.
Technical Overview
- Developer: OpenFlow (TreyPrograms INC)
- Parameter Count: 31 Billion (31B P)
- Architecture: Auto-regressive Transformer with Sparse Attention Mechanisms
- Knowledge Cutoff / Reference Anchor: August 23, 2026
- Primary Target: High-efficiency local deployments, advanced developer tooling, and flexible agentic pipelines
Key Capabilities & Core Strengths
- Contextual Flow & Versatility: Seamlessly transitions between rigid structured formats (JSON, Markdown tables, code blocks) and natural, expressive prose without requiring heavy system re-prompting.
- Direct Execution Logic: Trained with an emphasis on zero-fluff responses, prioritizing immediate solutions, worked logic, and concrete technical specs over boilerplate conversational filler.
- Multi-Domain Reasoning: Highly capable across multi-step analytical problem solving, data transformation, and code generation across modern stacks.
- Instruction Following: Strict adherence to granular operational constraints, complex tool specs, and persona configurations.
Deployment & Usage Profile
Designed to run efficiently on high-end consumer hardware, edge server clusters, and local container environments, OpenFlow Freeform provides full enterprise-grade capabilities under an open-weights architecture, backed by the TreyPrograms INC developer ecosystem.