UMSR-Reasoner-7B is a general reasoning model designed for structured problem solving and consistent answer formatting in production and research workflows.

Model repository: https://huggingface.co/NorthernTribe-Research/UMSR-Reasoner-7B
Primary dataset: https://huggingface.co/datasets/NorthernTribe-Research/UMSR-v1

Intended Use

Use this model for tasks that require:

multi-step quantitative reasoning
logic and strategy-style question answering
science and technical problem decomposition
deterministic final-answer formatting for downstream parsers

Core Capabilities

Produces step-aware reasoning outputs for complex prompts
Handles open-form and exam-style tasks across math, logic, and science domains
Supports structured response contracts for automation pipelines
Works well in teacher-student continuous improvement loops

Recommended Prompting

For highest reliability, use explicit instructions about reasoning depth and enforce a final-answer tag in every response.

Suggested system instruction:

Solve step by step and end with <final_answer>...</final_answer>.

Output Contract

Required final output tag:

<final_answer>...</final_answer>

Optional reasoning tag:

<reasoning>...</reasoning>

Training Profile

Student model: NorthernTribe-Research/UMSR-Reasoner-7B
Training mode: teacher-student distillation
Teacher model(s): NorthernTribe-Research/UMSR-Reasoner-7B

Operational Guidance

Prefer lower sampling temperature for deterministic workflows
Validate final answers for high-stakes usage
Run domain-specific evaluation before production rollout

Limitations

May produce plausible but incorrect reasoning traces
Performance varies with prompt quality and task domain
Not a substitute for expert review in legal, medical, financial, or safety-critical decisions