config.json

{
  "_name_or_path": "google/recurrentgemma-9b",
  "architectures": [
    "RecurrentGemmaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "attention_window_size": 2048,
  "block_types": [
    "recurrent",
    "recurrent",
    "attention"
  ],
  "bos_token_id": 2,
  "conv1d_width": 4,
  "eos_token_id": 1,
  "final_w_init_variance_scale": 0.05263157894736842,
  "head_dim": 256,
  "hidden_activation": "gelu_pytorch_tanh",
  "hidden_size": 4096,
  "intermediate_size": 24576,
  "logits_soft_cap": 30.0,
  "lru_width": 4096,
  "model_type": "recurrent_gemma",
  "num_attention_heads": 16,
  "num_hidden_layers": 38,
  "num_key_value_heads": 1,
  "pad_token_id": 0,
  "partial_rotary_factor": 0.5,
  "quantization_config": {
    "_load_in_4bit": true,
    "_load_in_8bit": false,
    "bnb_4bit_compute_dtype": "bfloat16",
    "bnb_4bit_quant_storage": "uint8",
    "bnb_4bit_quant_type": "nf4",
    "bnb_4bit_use_double_quant": true,
    "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"
  },
  "rms_norm_eps": 1e-06,
  "rope_theta": 10000.0,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.42.0.dev0",
  "use_cache": true,
  "vocab_size": 256000,
  "w_init_variance_scale": 0.01
}