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OrionLLM/
GRM-2.6-Plus-0628

Name: GRM-2.6-Plus-0628
Availability: InStock

OrionLLM/GRM-2.6-Plus

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apache-2.0

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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.

[!Important] 2026-07-27 Update — Chat template fix (tool calls inside reasoning), v2.

Fixes tool calls landing in reasoning_content instead of tool_calls on llama.cpp and other engines that rely on the template's forced-open <think> prefill.

(1) Explicit close directive: the <IMPORTANT> block now requires </think> to be closed in every response, unconditionally, with no conversational text before the tool call.

(2) Closing-tag variant detection: the history parser now recognizes </think>, </thinking>, and common malformed variants (</ think>, </think >), not just the exact tag — borrowed from community testing on the wider Qwen3.5/3.6 template ecosystem.

(3) Empty-think guard: past turns with no actual reasoning content no longer render an empty <think>\n\n</think> block. Empty-think injection was training the model, in-context, to associate "no thinking" with "tool call," which made the bug worse over multi-turn agentic loops.

(4) History parse fallback: assistant turns that contain <tool_call> but no closing think tag are split at the tool-call boundary instead of dumping the raw XML as plain text into content.

(5) auto_disable_thinking_with_tools kwarg (optional, default false): scoped to individual turns that follow a tool_response, not session-wide — so planned next-steps in an agentic loop skip the forced <think> block, while turns that genuinely need extended reasoning keep it.

No action needed beyond replacing chat_template.jinja. Upstream tracking: ggml-org/llama.cpp#22684, #20260.

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.

OrionLLM/GRM-2.6-Plus-0628