--- license: apache-2.0 base_model: - Qwen/Qwen3.6-27B pipeline_tag: image-text-to-text ---

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HuggingFace Collection License
## 1. Introduction GRM-2.6-Plus is a **27B-parameter reasoning model** 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. The model focuses on **structured reasoning**, helping it produce more accurate, coherent, and reliable responses across demanding problems. GRM-2.6-Plus 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 is optimized to handle difficult reasoning workloads with clarity, consistency, and strong step-by-step problem-solving ability. - **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 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 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. ![terminal_performance_evaluation](https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/hob6iwkw7MuTgL0G9M6uQ.png) 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
GRM-2.6-Plus Qwen3.6-27B google/gemma-4-31B-it GPT-5.4-Mini Claude-4.5-Haiku
Knowledge & STEM
MMLU-Pro 86.8 86.2 85.2 -- 80.0
MMLU-Redux 94.2 93.5 93.7 -- --
C-Eval 92.0 91.4 82.6 -- --
GPQA Diamond 88.3 87.8 84.3 88.0 73.0
SuperGPQA 66.4 66.0 65.7 -- --
Reasoning & Coding
LiveCodeBench v6 84.8 83.9 80.0 -- 51.1
HMMT Feb 26 84.8 84.3 77.2 -- --
AIME26 95.1 94.1 89.2 -- --
General Agent
SWE-bench Verified 77.7 77.2 52.0 -- 73.3
SWE-bench Pro 54.0 53.5 35.7 54.4 --
Terminal-Bench 2.0 59.8 59.3 42.9 60.0 41.0
## 4. Family The GRM-2.6 family is available in various sizes to suit every case.
Model Size Domain
GRM-2.6-Plus 27B Powerful model for extremely difficult tasks
GRM-2.6 9B Powerful on-device deployment for difficult tasks
GRM-2.6-Air 2B Any-device deployment for everyday chat
## 5. Architecture GRM-2.6 is built on the Qwen3.6 architecture and is optimized for complex tasks, agent environments, and everyday chat. GRM-2.6 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. ## 6. Quick start Before starting, make sure it is installed and the API key and the API base URL is configured, e.g.: ```shell pip install -U openai # Set the following accordingly export OPENAI_BASE_URL="http://localhost:8000/v1" export OPENAI_API_KEY="EMPTY" ``` #### Text-Only Input ```python from openai import OpenAI # Configured by environment variables client = OpenAI() messages = [ {"role": "user", "content": "Create an calculator in a single HTML file backwards"}, ] chat_response = client.chat.completions.create( model="OrionLLM/GRM-2.5-Plus", messages=messages, max_tokens=81920, temperature=1.0, top_p=0.95, presence_penalty=0.0, extra_body={ "top_k": 20, }, ) print("Chat response:", chat_response) ``` ---
**GRM-2.6-Plus** is developed by **[OrionLLM](https://huggingface.co/OrionLLM)** and released under the Apache 2.0 License.