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## Introduction
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We're excited to release lightweight Hammer 2.1 models ([0.5B](https://huggingface.co/MadeAgents/Hammer2.1-0.5b) , [1.5B](https://huggingface.co/MadeAgents/Hammer2.1-1.5b) , [3B](https://huggingface.co/MadeAgents/Hammer2.1-3b) , and [7B](https://huggingface.co/MadeAgents/Hammer2.1-7b)) with strong function calling capability, which empower developers to build personalized, on-device agentic applications. These models are based on the Qwen 2.5 coder series and utilize [function masking techniques](https://arxiv.org/abs/2410.04587). Hammer 2.5 series bring significant enhancements, while still maintaining the basic functionality of Hammer 2.0's Single-Turn interaction and further strengthening other capabilities.
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##Model Details
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The Hammer 2.5 models, fine-tuned from the Qwen 2.5 coder series, inherit Hammer 2.0's advantages and are enhanced as follows:
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- Multi-Step Function Calling: The assistant can perform multiple internal function calls to handle a single user request, actively planning and gathering information to fulfill complex tasks.
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- Multi-Turn Function Calling: Enables continuous and context-aware interactions over multiple exchanges, with each turn potentially containing multiple steps, for a more natural conversation experience.
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## Introduction
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We're excited to release lightweight Hammer 2.1 models ([0.5B](https://huggingface.co/MadeAgents/Hammer2.1-0.5b) , [1.5B](https://huggingface.co/MadeAgents/Hammer2.1-1.5b) , [3B](https://huggingface.co/MadeAgents/Hammer2.1-3b) , and [7B](https://huggingface.co/MadeAgents/Hammer2.1-7b)) with strong function calling capability, which empower developers to build personalized, on-device agentic applications. These models are based on the Qwen 2.5 coder series and utilize [function masking techniques](https://arxiv.org/abs/2410.04587). Hammer 2.5 series bring significant enhancements, while still maintaining the basic functionality of Hammer 2.0's Single-Turn interaction and further strengthening other capabilities.
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## Model Details
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The Hammer 2.5 models, fine-tuned from the Qwen 2.5 coder series, inherit Hammer 2.0's advantages and are enhanced as follows:
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- Multi-Step Function Calling: The assistant can perform multiple internal function calls to handle a single user request, actively planning and gathering information to fulfill complex tasks.
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17 |
- Multi-Turn Function Calling: Enables continuous and context-aware interactions over multiple exchanges, with each turn potentially containing multiple steps, for a more natural conversation experience.
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