Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- OrionLLM/GRM-2.6-Plus
+pipeline_tag: image-text-to-text
+---
+
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/_66bkNH630dGeIt2Uuctd.png" alt="logo" width="500">
+</p>
+<div align="center">
+  <a href="https://huggingface.co/OrionLLM/GRM-2.6-Plus-0628/" style="text-decoration: none;">
+    <img src="https://img.shields.io/badge/🤗-HuggingFace-FC926C?style=for-the-badge" alt="HuggingFace">
+  </a>
+  <a href="https://huggingface.co/collections/OrionLLM/grm-26" style="text-decoration: none;">
+    <img src="https://img.shields.io/badge/📚-Collection-3B82F6?style=for-the-badge" alt="Collection">
+  </a>
+    <a href="https://grape.skinnertopia.com/chat" style="text-decoration: none;">
+    <img src="https://img.shields.io/badge/💬-Chat-22C55E?style=for-the-badge" alt="Chat">
+  </a>
+  <a href="https://www.apache.org/licenses/LICENSE-2.0" style="text-decoration: none;">
+    <img src="https://img.shields.io/badge/📜-License-E343BD?style=for-the-badge" alt="License">
+  </a>
+</div>
+
+## 1. Introduction
+
+GRM-2.6-Plus-0628 is a **27B-parameter reasoning model** and a small update to **GRM-2.6-Plus**, built for **general-purpose AI** and optimized for **difficult, high-complexity tasks**. It is designed to deliver stronger performance for its size while remaining practical, efficient, and accessible for advanced local and research-oriented use.
+
+This version improves upon **GRM-2.6-Plus** with a focus on **long-horizon agentic tasks** and the ability to **solve harder problems**, allowing it to better compete head-to-head with frontier models. The model focuses on **structured reasoning**, helping it produce more accurate, coherent, and reliable responses across demanding problems. GRM-2.6-Plus-0628 brings **elite-level reasoning** to complex workloads, making it suitable for users who need a capable model for advanced problem-solving, coding, agents, and everyday intelligence.
+
+## 2. Key Capabilities
+
+- **Elite-Level Reasoning for Hard Tasks:** GRM-2.6-Plus-0628 is optimized to handle difficult reasoning workloads with clarity, consistency, and strong step-by-step problem-solving ability.
+- **Improved Long-Horizon Agentic Performance:** This update specifically targets long-horizon agentic workflows, enabling the model to maintain coherence and effectiveness across extended multi-step tasks.
+- **High Performance for Its Size:** With **27B parameters**, the model is designed to deliver excellent capability relative to its scale, balancing strong intelligence with practical deployment.
+- **Advanced Coding and Agentic Use:** GRM-2.6-Plus-0628 is well suited for code generation, structured problem-solving, tool-style workflows, and local agentic applications.
+- **Optimized for Practical Deployment:** The model aims to remain efficient and usable across capable consumer and workstation hardware while offering strong performance for advanced tasks.
+
+## 3. Performance
+
+GRM-2.6-Plus-0628 is designed to be a highly capable **27B local AI model** for complex reasoning, coding, everyday chat, and agentic workflows. It focuses on delivering **better performance for its size**, making it a strong option for users who want powerful reasoning without relying only on massive-scale models.
+
+Its core strength is **practical intelligence**: elite-level reasoning, strong task understanding, stable responses, and the ability to handle difficult problems across multiple domains.
+
+### Detailed Benchmarks
+
+<table>
+    <tr>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;"> </th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">GRM-2.6-Plus-0628</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">GRM-2.6-Plus</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">Qwen3.6-27B</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">google/gemma-4-31B-it</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">GPT-5.4-Mini</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">Claude-4.5-Haiku</th>
+    </tr>
+    <tr>
+        <td align="center" colspan="7" style="background: linear-gradient(90deg, rgba(124,58,237,0.45) 0%, rgba(99,102,241,0.42) 50%, rgba(59,130,246,0.45) 100%); font-weight: bold; height:32px; padding-top:2px; padding-bottom:2px;"><i>Knowledge &amp; STEM</i></td>
+    </tr>
+    <tr>
+        <td align="center">MMLU-Pro</td>
+        <td align="center"><b>88.1</b></td>
+        <td align="center">86.8</td>
+        <td align="center">86.2</td>
+        <td align="center">85.2</td>
+        <td align="center">--</td>
+        <td align="center">80.0</td>
+    </tr>
+    <tr>
+        <td align="center">MMLU-Redux</td>
+        <td align="center"><b>96.4</b></td>
+        <td align="center">94.2</td>
+        <td align="center">93.5</td>
+        <td align="center">93.7</td>
+        <td align="center">--</td>
+        <td align="center">--</td>
+    </tr>
+    <tr>
+        <td align="center">C-Eval</td>
+        <td align="center"><b>92.4</b></td>
+        <td align="center">92.0</td>
+        <td align="center">91.4</td>
+        <td align="center">82.6</td>
+        <td align="center">--</td>
+        <td align="center">--</td>
+    </tr>
+    <tr>
+        <td align="center">GPQA Diamond</td>
+        <td align="center"><b>90.1</b></td>
+        <td align="center">88.3</td>
+        <td align="center">87.8</td>
+        <td align="center">84.3</td>
+        <td align="center">88.0</td>
+        <td align="center">73.0</td>
+    </tr>
+    <tr>
+        <td align="center">SuperGPQA</td>
+        <td align="center"><b>67.5</b></td>
+        <td align="center">66.4</td>
+        <td align="center">66.0</td>
+        <td align="center">65.7</td>
+        <td align="center">--</td>
+        <td align="center">--</td>
+    </tr>
+    <tr>
+        <td align="center" colspan="7" style="background: linear-gradient(90deg, rgba(124,58,237,0.45) 0%, rgba(99,102,241,0.42) 50%, rgba(59,130,246,0.45) 100%); font-weight: bold; height:32px; padding-top:2px; padding-bottom:2px;"><i>Reasoning &amp; Coding</i></td>
+    </tr>
+    <tr>
+        <td align="center">LiveCodeBench v6</td>
+        <td align="center"><b>86.5</b></td>
+        <td align="center">84.8</td>
+        <td align="center">83.9</td>
+        <td align="center">80.0</td>
+        <td align="center">--</td>
+        <td align="center">51.1</td>
+    </tr>
+    <tr>
+        <td align="center">HMMT Feb 26</td>
+        <td align="center"><b>85.9</b></td>
+        <td align="center">84.8</td>
+        <td align="center">84.3</td>
+        <td align="center">77.2</td>
+        <td align="center">--</td>
+        <td align="center">--</td>
+    </tr>
+    <tr>
+        <td align="center">AIME26</td>
+        <td align="center"><b>95.6</b></td>
+        <td align="center">95.1</td>
+        <td align="center">94.1</td>
+        <td align="center">89.2</td>
+        <td align="center">--</td>
+        <td align="center">--</td>
+    </tr>
+    <tr>
+        <td align="center" colspan="7" style="background: linear-gradient(90deg, rgba(124,58,237,0.45) 0%, rgba(99,102,241,0.42) 50%, rgba(59,130,246,0.45) 100%); font-weight: bold; height:32px; padding-top:2px; padding-bottom:2px;"><i>General Agent</i></td>
+    </tr>
+    <tr>
+        <td align="center">SWE-bench Verified</td>
+        <td align="center"><b>79.7</b></td>
+        <td align="center">77.7</td>
+        <td align="center">77.2</td>
+        <td align="center">52.0</td>
+        <td align="center">--</td>
+        <td align="center">73.3</td>
+    </tr>
+    <tr>
+        <td align="center">SWE-bench Pro</td>
+        <td align="center"><b>56.1</b></td>
+        <td align="center">54.0</td>
+        <td align="center">53.5</td>
+        <td align="center">35.7</td>
+        <td align="center">54.4</td>
+        <td align="center">--</td>
+    </tr>
+    <tr>
+        <td align="center">Terminal-Bench 2.0</td>
+        <td align="center"><b>62.6</b></td>
+        <td align="center">59.8</td>
+        <td align="center">59.3</td>
+        <td align="center">42.9</td>
+        <td align="center">60.0</td>
+        <td align="center">41.0</td>
+    </tr>
+</table>
+
+## 4. Family
+The GRM-2.6 family is available in various sizes to suit every case.
+
+<table>
+    <tr>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">Model</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">Size</th>
+        <th style="background: rgba(128,128,128,0.1); text-align: center;">Domain</th>
+    </tr>
+    <tr>
+        <td align="center">GRM-2.6-Plus-0628</td>
+        <td align="center">27B</td>
+        <td align="center">Updated model for extremely difficult tasks with improved long-horizon agentic performance</td>
+    </tr>
+    <tr>
+        <td align="center">GRM-2.6-Plus</td>
+        <td align="center">27B</td>
+        <td align="center">Powerful model for extremely difficult tasks</td>
+    </tr>
+    <tr>
+        <td align="center">GRM-2.6-Opus</td>
+        <td align="center">27B</td>
+        <td align="center">Merge of GRM-2.6-Plus optimized for difficult terminal and coding tasks</td>
+    </tr>
+</table>
+
+## 5. Architecture
+GRM-2.6-Plus-0628 is built on the Qwen3.6 architecture and is optimized for complex tasks, agent environments, and everyday chat.
+
+GRM-2.6-Plus-0628 applies the same principle to a stronger, larger foundation, resulting in a model that punches above its weight class on structured reasoning tasks while remaining deployable on consumer hardware.
+
+---
+
+<div align="center">
+  
+**GRM-2.6-Plus-0628** is developed by **[OrionLLM](https://huggingface.co/OrionLLM)** and released under the Apache 2.0 License.
+
+</div>