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README.md
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### **Math IIO 7B Instruct**
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### **Key Features:**
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1. **Math-Optimized Capabilities:**
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| `tokenizer_config.json` | 7.73 kB | Configuration for tokenizer | Uploaded |
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| `vocab.json` | 2.78 MB | Vocabulary for tokenizer | Uploaded |
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The **Math IIO 7B Instruct** is a fine-tuned language model based on the robust **Qwen2.5-7B-Instruct** architecture. This model has been specifically trained to excel in mathematical reasoning and instruction-based tasks, making it a reliable choice for educational, analytical, and problem-solving applications.
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### **Training Details:**
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- **Base Model:** [Qwen/Qwen2.5-7B-Instruct](#)
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- **Dataset:** Trained on **Math-IIO-68K-Mini**, a curated dataset with 68.8k high-quality examples focusing on mathematical instructions, equations, and logic-based queries.
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### **Math IIO 7B Instruct**
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The **Math IIO 7B Instruct** is a fine-tuned language model based on the robust **Qwen2.5-7B-Instruct** architecture. This model has been specifically trained to excel in mathematical reasoning and instruction-based tasks, making it a reliable choice for educational, analytical, and problem-solving applications.
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### **Key Features:**
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1. **Math-Optimized Capabilities:**
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| `tokenizer_config.json` | 7.73 kB | Configuration for tokenizer | Uploaded |
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| `vocab.json` | 2.78 MB | Vocabulary for tokenizer | Uploaded |
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### **Training Details:**
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- **Base Model:** [Qwen/Qwen2.5-7B-Instruct](#)
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- **Dataset:** Trained on **Math-IIO-68K-Mini**, a curated dataset with 68.8k high-quality examples focusing on mathematical instructions, equations, and logic-based queries.
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