metadata
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- NorthernTribe-Research/UMSR-v1
tags:
- reasoning
- structured-output
- instruction-following
- math
- logic
- science
UMSR-Reasoner-7B
Purpose
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