---
license: apache-2.0
base_model:
- Qwen/Qwen3.5-4B
pipeline_tag: image-text-to-text
tags:
  - reasoning
  - vision
  - multimodal
  - instruct
  - chat
  - coding
  - math
  - science
---

# GRM-2.5

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/sZK90f3KIE6JcF4Nrm_2g.png" alt="logo" width="250">
</p>
<p align="center">
  <a href="https://huggingface.co/OrionLLM/GRM-2.5/">
    <img src="https://img.shields.io/badge/%F0%9F%A4%97%20HF-OrionLLM%2FGRM--2.5-green" alt="Hugging Face">
  </a>
  <a href="https://www.apache.org/licenses/LICENSE-2.0">
    <img src="https://img.shields.io/badge/License-apache--2.0-green" alt="License">
  </a>
</p>

## 1. Introduction
GRM-2.5 is a **4B-parameter reasoning model** built for **general-purpose local AI**. It is designed to deliver strong performance across a wide range of tasks while remaining efficient and accessible for local inference.

The model is optimized for **structured reasoning**, helping it produce more accurate, coherent, and reliable responses on complex problems. GRM-2.5 aims to combine strong reasoning ability, practical usability, and efficient deployment in a compact form factor.

## 2. Key Capabilities
- **Strong Reasoning for Everyday and Advanced Tasks:** GRM-2.5 is built to handle both daily conversations and more demanding reasoning workloads with clarity and consistency.
- **Efficient Local Coding and Agentic Use:** Despite its compact size, the model is well suited for code generation, structured problem-solving, and local agent-style workflows.
- **Optimized for Local Deployment:** GRM-2.5 is designed for accessible inference across a broad range of hardware, making it a practical choice for users who want capable AI running locally.

## 3. Performance
GRM-2.5 is designed to be a highly capable option for **local AI use** across many scenarios. It performs well in **complex reasoning tasks, everyday chat, coding, and agentic workflows**, while maintaining the efficiency expected from a compact 4B model.

Its focus is not only raw capability, but also **practical intelligence**: strong reasoning, stable long-context behavior, and usability on consumer hardware.