# Explanation of Files in each models

This directory contains the outputs of a fine-tuned large language model. Below is an explanation of each file:

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- **added_tokens.json**  
  Contains any custom tokens that were added to the tokenizer beyond the base vocabulary (e.g., special domain-specific words or symbols).

- **config.json**  
  Stores the model architecture and hyperparameters (e.g., number of layers, hidden size, attention heads). This is needed to reload the model correctly.

- **merges.txt**  
  Used by Byte-Pair Encoding (BPE) tokenizers. Contains merge rules for combining subword units into larger tokens.

- **model.safetensors**  
  The main file containing the model’s learned weights in the safetensors format (a safe and fast alternative to PyTorch’s .bin format).

- **model.safetensors.index.json**  
  An index file for the safetensors weights, used when the model is sharded or split across multiple files.

- **special_tokens_map.json**  
  Maps special tokens (like [CLS], [SEP], [PAD], etc.) to their corresponding IDs in the tokenizer.

- **spm.model**  
  SentencePiece model file, used for tokenization if SentencePiece is the tokenizer (common in multilingual or T5-style models).

- **tokenizer_config.json**  
  Stores configuration settings for the tokenizer (e.g., lowercasing, normalization, special token handling).

- **tokenizer.json**  
  Contains the full tokenizer vocabulary and rules in a single JSON file, often used for fast loading.

- **vocab.json**  
  The vocabulary file mapping tokens to their integer IDs (used by some tokenizers, especially BPE).

- **vocab.txt**  
  A plain text vocabulary file, listing all tokens (used by some tokenizers, especially WordPiece).

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These files together allow you to reload the fine-tuned model, preprocess text in the same way as during training, and ensure compatibility with downstream tasks.