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  ### **Model Overview**
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- **Name:** EvolLLM-Linh
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- **Version:** v1.0
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- **Release Date:** October 23, 2025
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- **Base Model:** [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)
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- **Library:** 🤗 *Transformers*
 
 
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  **Purpose:**
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- EvolLLM-Linh is a fine-tuned large language model designed for **function calling** and **multi-turn contextual reasoning**.
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- It aims to benchmark and enhance the **robustness, accuracy, and dialogue coherence** of LLMs operating in **API-driven or tool-using environments**.
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  **Key Capabilities:**
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  | ATOMIC TASK – OBJECT (DEEP) | 0.580 |
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  | ATOMIC TASK – OBJECT (SHORT) | 0.800 |
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- **Overall Accuracy:** **0.750 (75.0%)** in normal task (summary in leaderboard)
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  ---
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  ### **Model Overview**
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+ **Name:** EvolLLM-Linh \
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+ **Version:** v1.0 \
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+ **Release Date:** October 23, 2025 \
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+ **Base Model:** [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) \
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+ **Library:** 🤗 *Transformers* \
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+
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+
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  **Purpose:**
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+ EvolLLM-Linh is a fine-tuned large language model designed for **function calling**.
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+ It aims enhance the **robustness, accuracy, and dialogue coherence** of LLMs operating in **API-driven or tool-using environments**.
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  **Key Capabilities:**
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  | ATOMIC TASK – OBJECT (DEEP) | 0.580 |
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  | ATOMIC TASK – OBJECT (SHORT) | 0.800 |
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+ **Overall Accuracy:** **0.750 (75.0%)** in normal task (summary in leaderboard supass `Claude-3-5-Sonnet`)
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  ---
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