Text Generation
Safetensors
English
qwen3_5
reasoning
agent-traces
distillation
dora
qwen
nitrai
opengcm
conversational
Instructions to use nitrai-research/OpenGCM-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
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## Overview
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**OpenGCM-v2** is a reasoning-focused 9B parameter model developed by **NitrAI**. The model is built on top of the next-generation **Qwen3.5-9B** base model, which features state-of-the-art architectures and a 262k context window.
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The goal of OpenGCM-v2 is to distill complex coding-agent trajectories, multi-step math logic, and system-level reasoning from frontier LLMs (GPT-5.5, Claude-Fable-5, and GLM-5.2) into a highly efficient, lightweight consumer-hardware-friendly model.
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## Overview
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> [!NOTE]
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> The OpenGCM naming and the models are now deprecated. We recommend switching to Polaris.
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>
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**OpenGCM-v2** is a reasoning-focused 9B parameter model developed by **NitrAI**. The model is built on top of the next-generation **Qwen3.5-9B** base model, which features state-of-the-art architectures and a 262k context window.
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The goal of OpenGCM-v2 is to distill complex coding-agent trajectories, multi-step math logic, and system-level reasoning from frontier LLMs (GPT-5.5, Claude-Fable-5, and GLM-5.2) into a highly efficient, lightweight consumer-hardware-friendly model.
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