What license applies to morikomorizz/GRM-2.6-Plus-0628-GGUF?

License: apache-2.0. Verify terms on Hugging Face before commercial use.

How do I run morikomorizz/GRM-2.6-Plus-0628-GGUF locally?

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: text-generation.

Model Intelligence Sheet

morikomorizz/GRM-2.6-Plus-0628-GGUF overview

GRM 2.6 Plus 27B GGUF Overview This repository contains the GGUF quantized files for OrionLLM/GRM 2.6 Plus 0628 https://huggingface.co/OrionLLM/GRM 2.6 Plus 06…

ggufconversationalreasoningqwen3_5text-generationbase_model:OrionLLM/GRM-2.6-Plus-0628base_model:quantized:OrionLLM/GRM-2.6-Plus-0628license:apache-2.0endpoints_compatibleregion:usimatrix

Runs locally from ~13.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads

1,852

Likes

Pipeline

text-generation

Author

morikomorizz

Repository Files & Downloads

15 GGUF files detected

Direct downloads for local inference

File	Type	Quantization	Size	Link
GRM-2.6-0628-IQ1_M.gguf	GGUF	IQ1_M	8.62 GB	Download
GRM-2.6-0628-IQ2_M.gguf	GGUF	IQ2_M	10.72 GB	Download
GRM-2.6-0628-IQ3_M.gguf	GGUF	IQ3_M	12.78 GB	Download
GRM-2.6-0628-IQ4_NL.gguf	GGUF	IQ4_NL	15.73 GB	Download
GRM-2.6-0628-IQ4_XS.gguf	GGUF	IQ4_XS	14.85 GB	Download
GRM-2.6-0628-Q4_K_M.gguf	GGUF	Q4_K_M	17.12 GB	Download
GRM-2.6-0628-Q5_K_M.gguf	GGUF	Q5_K_M	20.03 GB	Download
GRM-2.6-0628-XL-Q2_K_M.gguf	GGUF	Q2_K_M	12.61 GB	Download
GRM-2.6-0628-XL-Q3_K_M.gguf	GGUF	Q3_K_M	15.81 GB	Download
GRM-2.6-0628-XL-Q6_K_M.gguf	GGUF	Q6_K_M	24.76 GB	Download
GRM-2.6-0628-XL-Q8_0.gguf	GGUF	Q8_0	28.87 GB	Download
GRM-2.6-Plus-0628-bf16.gguf	GGUF	BF16	50.90 GB	Download
grm-0628-imatrix.gguf	GGUF	GGUF	13.0 MB	Download
mmproj-bf16.gguf	GGUF	BF16	888.0 MB	Download
mmproj-q8_0.gguf	GGUF	Q8_0	600.1 MB	Download

Model Details

Model ID	morikomorizz/GRM-2.6-Plus-0628-GGUF
Author	morikomorizz
Pipeline	text-generation
License	apache-2.0
Base model	OrionLLM/GRM-2.6-Plus-0628
Last modified	2026-07-13T11:23:07.000Z

Model README

---

license: apache-2.0

base_model:

OrionLLM/GRM-2.6-Plus-0628

tags:

gguf
conversational
reasoning
qwen3_5

pipeline_tag: text-generation

---

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

<table>

<tr>

<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;">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 & STEM</i></td>

</tr>

<tr>

</tr>

<tr>

<td align="center">MMLU-Redux</td>

</tr>

<tr>

</tr>

<tr>

<td align="center">GPQA Diamond</td>

</tr>

<tr>

<td align="center">SuperGPQA</td>

</tr>

<tr>

</tr>

<tr>

<td align="center">LiveCodeBench v6</td>

</tr>

<tr>

</tr>

<tr>

</tr>

<tr>

</tr>

<tr>

<td align="center">SWE-bench Verified</td>

</tr>

<tr>

<td align="center">SWE-bench Pro</td>

</tr>

<tr>

<td align="center">Terminal-Bench 2.0</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;">Domain</th>

</tr>

<tr>

<td align="center">Updated model for extremely difficult tasks with improved long-horizon agentic performance</td>

</tr>

<tr>

<td align="center">Powerful model for extremely difficult tasks</td>

</tr>

<tr>

<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.

---

GRM-2.6-Plus-0628 is developed by OrionLLM and released under the Apache 2.0 License.

</div>

---

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:

./llama-cli -m GRM-2.6-Plus-Q8_0.gguf \
  -p "System: You are a helpful assistant.\nUser: Create a calculator in a single HTML file backwards.\nAssistant:" \
  -n 2048 -c 8192

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morikomorizz/GRM-2.6-Plus-0628-GGUF overview

Repository Files & Downloads

Model Details

Model README

GRM-2.6-Plus (27B) - GGUF

Overview

1. Introduction

2. Key Capabilities

3. Performance

Detailed Benchmarks

4. Family

5. Architecture

How to Use

Example using llama.cpp CLI:

Run morikomorizz/GRM-2.6-Plus-0628-GGUF with guIDE

Example using `llama.cpp` CLI: