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README.md
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- **Strong Reasoning for Everyday and Advanced Tasks:** GRM-2.5 is built to handle both daily conversations and more demanding reasoning workloads with clarity and consistency.
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- **Efficient Local Coding and Agentic Use:** Despite its compact size, the model is well suited for code generation, structured problem-solving, and local agent-style workflows.
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- **Optimized for Local Deployment:** GRM-2.5 is designed for accessible inference across a broad range of hardware, making it a practical choice for users who want capable AI running locally.
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- **Long Context and Multimodal Support:** This private mirror inherits long-context and multimodal capabilities from the upstream `Qwen/Qwen3.5-4B` release.
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## 3. Performance
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GRM-2.5 is designed to be a highly capable option for **local AI use** across many scenarios. It performs well in **complex reasoning tasks, everyday chat, coding, and agentic workflows**, while maintaining the efficiency expected from a compact 4B model.
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- **Strong Reasoning for Everyday and Advanced Tasks:** GRM-2.5 is built to handle both daily conversations and more demanding reasoning workloads with clarity and consistency.
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| 38 |
- **Efficient Local Coding and Agentic Use:** Despite its compact size, the model is well suited for code generation, structured problem-solving, and local agent-style workflows.
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- **Optimized for Local Deployment:** GRM-2.5 is designed for accessible inference across a broad range of hardware, making it a practical choice for users who want capable AI running locally.
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## 3. Performance
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GRM-2.5 is designed to be a highly capable option for **local AI use** across many scenarios. It performs well in **complex reasoning tasks, everyday chat, coding, and agentic workflows**, while maintaining the efficiency expected from a compact 4B model.
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