GRM-2.6-Plus (27B) - GGUF
Overview
This repository contains the
GGUF quantized files for
OrionLLM/GRM-2.6-Plus-0628.
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
| | GRM-2.6-Plus-0628 | GRM-2.6-Plus | Qwen3.6-27B | google/gemma-4-31B-it | GPT-5.4-Mini | Claude-4.5-Haiku |
|---|
| Knowledge & STEM |
| MMLU-Pro | 88.1 | 86.8 | 86.2 | 85.2 | -- | 80.0 |
| MMLU-Redux | 96.4 | 94.2 | 93.5 | 93.7 | -- | -- |
| C-Eval | 92.4 | 92.0 | 91.4 | 82.6 | -- | -- |
| GPQA Diamond | 90.1 | 88.3 | 87.8 | 84.3 | 88.0 | 73.0 |
| SuperGPQA | 67.5 | 66.4 | 66.0 | 65.7 | -- | -- |
| Reasoning & Coding |
| LiveCodeBench v6 | 86.5 | 84.8 | 83.9 | 80.0 | -- | 51.1 |
| HMMT Feb 26 | 85.9 | 84.8 | 84.3 | 77.2 | -- | -- |
| AIME26 | 95.6 | 95.1 | 94.1 | 89.2 | -- | -- |
| General Agent |
| SWE-bench Verified | 79.7 | 77.7 | 77.2 | 52.0 | -- | 73.3 |
| SWE-bench Pro | 56.1 | 54.0 | 53.5 | 35.7 | 54.4 | -- |
| Terminal-Bench 2.0 | 62.6 | 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-0628 | 27B | Updated model for extremely difficult tasks with improved long-horizon agentic performance |
| GRM-2.6-Plus | 27B | Powerful model for extremely difficult tasks |
| GRM-2.6-Opus | 27B | Merge of GRM-2.6-Plus optimized for difficult terminal and coding tasks |
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.
GRM-2.6-Plus-0628 is developed by
OrionLLM and released under the Apache 2.0 License.
How to Use
These GGUF files are fully compatible with
llama.cpp and popular graphical interfaces like
LM Studio,
Ollama.
Example using llama.cpp CLI:
1./llama-cli -m GRM-2.6-Plus-Q8_0.gguf \
2 -p "System: You are a helpful assistant.\nUser: Create a calculator in a single HTML file backwards.\nAssistant:" \
3 -n 2048 -c 8192
