config.json

{
  "_name_or_path": "small100",
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "M2M100ForConditionalGeneration"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 0,
  "d_model": 1024,
  "decoder_attention_heads": 16,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 3,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 12,
  "eos_token_id": 2,
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "max_length": 256,
  "max_position_embeddings": 1024,
  "model_type": "m2m_100",
  "num_beams": 5,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "quantization_config": {
    "_load_in_4bit": true,
    "_load_in_8bit": false,
    "bnb_4bit_compute_dtype": "float32",
    "bnb_4bit_quant_storage": "uint8",
    "bnb_4bit_quant_type": "fp4",
    "bnb_4bit_use_double_quant": false,
    "llm_int8_enable_fp32_cpu_offload": false,
    "llm_int8_has_fp16_weight": false,
    "llm_int8_skip_modules": null,
    "llm_int8_threshold": 6.0,
    "load_in_4bit": true,
    "load_in_8bit": false,
    "quant_method": "bitsandbytes"
  },
  "scale_embedding": true,
  "torch_dtype": "float32",
  "transformers_version": "4.44.2",
  "use_cache": true,
  "vocab_size": 128112
}