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README.md

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-license: llama3.2
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+---
+license: llama3.2
+---
+# Model Card: agentlans/Llama-3.2-1B-Instruct-CrashCourse12K
+
+## Model Overview
+- **Base Model**: Llama-3.2-1B-Instruct
+- **Fine-tuning Type**: Supervised Fine-Tuning (SFT)
+- **Dataset**: agentlans/crash-course (12,000 rows)
+- **Purpose**: Enhanced instruction-following capabilities
+
+## Training Details
+- **Method**: Supervised fine-tuning on high-quality instruction dataset
+- **Training Rows**: 12,000
+- **Objective**: Improve task completion and instruction understanding
+
+## Performance
+- Optimized for multi-task instruction following
+- Improved zero-shot and few-shot performance
+- Enhanced reasoning and response coherence
+
+## Limitations
+- 1B parameter model with constrained complex reasoning
+- Knowledge cutoff: December 2023
+- Potential inherited biases from base model and training data
+
+## Recommended Use
+- General instruction-based tasks
+- Educational content generation
+- Simple reasoning and task completion