Logic Reasoner v2 is a verdict-style reasoning and verification model packaged for Ollama and distributed as GGUF. It is designed for operational, infrastructure, and automation workflows that require deterministic, machine-readable output, not conversational text. Use this model when you need: — A clear verdict instead of a narrative — Structured reasoning that can be logged or audited — Predictable output suitable for automation — A bridge between LLM reasoning and operational workflows Typical use cases: — Kubernetes and GPU stack troubleshooting (GPU Operator, DCGM, drivers) — Verification of technical or operational claims — Incident triage and post-mortem workflows — JSON-driven automation pipelines When used with the provided Mod { «verdict»: «true | false | uncertain», «reason»: «string», «confidence»: 0.0, «evidence»: [«string»], «assumptions»: [«string»], «next_actions»: [«string»] } curl http://localhost:11434/api/generate -d ‘{ «model»: «logic-reasoner-v2», «stream»: false, «prompt»: «Input: DCGM exporter reports 0 GPUs across all nodes. Question: Is the system healthy?» }’ This model was built and…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: amihai4by
Теги: ollama, gguf, reasoning, verification, fact-checking, json, kubernetes, dgx
Лайков: 3 | Загрузок: 36
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
