{
  "architectures": [
    "LOLEVEForCausalLM"
  ],
  "model_type": "loleve",
  "num_layers": 12,
  "num_embd": 768,
  "num_heads": 12,
  "max_positional_embedding_size": 1007,
  "position_embedding_type": "adaptive",
  "use_control_codes": 1,
  "vocab_size": 39378,
  "pad_token_id": 0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "unk_token_id": 3,
  "sep_token_id": 4,
  "mask_token_id": 5,
  "transformers_version": "4.35.0",
  "auto_map": {
    "AutoConfig": "modeling_loleve.LOLEVEConfig",
    "AutoModelForCausalLM": "modeling_loleve.LOLEVEForCausalLM"
  },
  "model_name": "LOL-EVE",
  "description": "Language-Optimized Learning for Evolutionary Variant Effects - A genomic language model for variant effect prediction",
  "task": "text-generation",
  "language": "genomic",
  "license": "mit"
}