Text Generation
Safetensors
qwen3_5
conversational
Eval Results
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  pipeline_tag: text-generation
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- <p align="center">
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- <img src="logo.png" alt="logo" width="500">
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- </p>
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- <div align="center">
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- <a href="https://huggingface.co/OrionLLM/LRM-3.2/" style="text-decoration: none;">
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- <img src="https://img.shields.io/badge/🤗-HuggingFace-FC926C?style=for-the-badge" alt="HuggingFace">
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- </a>
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- <a href="https://huggingface.co/collections/OrionLLM/lrm-32" style="text-decoration: none;">
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- <img src="https://img.shields.io/badge/📚-Collection-3B82F6?style=for-the-badge" alt="Collection">
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- </a>
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- <a href="https://www.apache.org/licenses/LICENSE-2.0" style="text-decoration: none;">
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- <img src="https://img.shields.io/badge/📜-License-E343BD?style=for-the-badge" alt="License">
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- </a>
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  ## 1. Introduction
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  We're introducing **LRM-3.2**, a reasoning model built around a single idea: thinking should be *fast, direct, and dense* — not padded. LRM-3.2 keeps the full depth of chain-of-thought reasoning while stripping out the narrative scaffolding that most models use to fill space.
 
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  pipeline_tag: text-generation
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  ## 1. Introduction
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  We're introducing **LRM-3.2**, a reasoning model built around a single idea: thinking should be *fast, direct, and dense* — not padded. LRM-3.2 keeps the full depth of chain-of-thought reasoning while stripping out the narrative scaffolding that most models use to fill space.