tokenizer_config.json

{
  "tokenizer_class": "PreTrainedTokenizerFast",
  "auto_map": {
    "AutoTokenizer": [
      null,
      "tokenizer_class.TeluguTokenizer"
    ]
  },
  "model_type": "llama",
  "bos_token": "<bos>",
  "eos_token": "<eos>",
  "unk_token": "<unk>",
  "pad_token": "<pad>",
  "add_bos_token": true,
  "add_eos_token": false,
  "clean_up_tokenization_spaces": false,
  "model_max_length": 2048,
  "extra_info": {
    "type": "morfessor_bpe_telugu",
    "separator": "@@",
    "note": "This tokenizer expects Morfessor-segmented text as input. For raw Telugu text, run Morfessor segmentation first using the included morfessor_telugu.bin model. Tokens ending with '@@' are continuation pieces that join to the next token. The decoder handles @@ removal automatically."
  },
  "additional_special_tokens": [
    "<|system|>",
    "<|user|>",
    "<|assistant|>",
    "<|end|>",
    "<bos>",
    "<eos>"
  ],
  "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}<|system|>{{ message['content'] }}<|end|>{% elif message['role'] == 'user' %}<|user|>{{ message['content'] }}<|end|>{% elif message['role'] == 'assistant' %}<|assistant|>{{ message['content'] }}<|end|>{% endif %}{% endfor %}{% if add_generation_prompt %}<|assistant|>{% endif %}"
}