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README.md

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 # ConflLlama: Domain-Specific LLM for Conflict Event Classification
 
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 **ConflLlama** is a large language model fine-tuned to classify conflict events from text descriptions. This repository contains the GGUF quantized models (q4\_k\_m, q8\_0, and BF16) based on **Llama-3.1 8B**, which have been adapted for the specialized domain of political violence research.
 
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       * Alpha (`lora_alpha`): 16
       * Target Modules: `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj`
 
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 ### Training Data
 
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   * **Time Period**: The training dataset consists of 171,514 events that occurred before January 1, 2017. The test set includes 38,192 events from 2017 onwards.
   * **Preprocessing**: The pipeline filters data by date, cleans text summaries, and combines primary, secondary, and tertiary attack types into a single multi-label field.
 
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 ## Training Logs
 
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 The training logs show a successful training run with healthy convergence patterns: