config.json

{
  "_name_or_path": "/ceph/hdd/staff/charpent/.cache/modelsz0cug6rhqj86r_rt",
  "activation_fn_name": "swish",
  "architectures": [
    "OpenELMForCausalLM"
  ],
  "auto_map": {
    "AutoConfig": "configuration_openelm.OpenELMConfig",
    "AutoModelForCausalLM": "modeling_openelm.OpenELMForCausalLM"
  },
  "bos_token_id": 1,
  "eos_token_id": 2,
  "ffn_dim_divisor": 256,
  "ffn_multipliers": [
    0.5,
    0.63,
    0.76,
    0.89,
    1.02,
    1.15,
    1.28,
    1.41,
    1.54,
    1.67,
    1.8,
    1.93,
    2.06,
    2.19,
    2.31,
    2.44,
    2.57,
    2.7,
    2.83,
    2.96,
    3.09,
    3.22,
    3.35,
    3.48,
    3.61,
    3.74,
    3.87,
    4.0
  ],
  "ffn_with_glu": true,
  "head_dim": 64,
  "initializer_range": 0.02,
  "max_context_length": 2048,
  "model_dim": 2048,
  "model_type": "openelm",
  "normalization_layer_name": "rms_norm",
  "normalize_qk_projections": true,
  "num_gqa_groups": 4,
  "num_kv_heads": [
    4,
    4,
    4,
    5,
    5,
    5,
    5,
    5,
    5,
    5,
    6,
    6,
    6,
    6,
    6,
    6,
    6,
    6,
    7,
    7,
    7,
    7,
    7,
    7,
    8,
    8,
    8,
    8
  ],
  "num_query_heads": [
    16,
    16,
    16,
    20,
    20,
    20,
    20,
    20,
    20,
    20,
    24,
    24,
    24,
    24,
    24,
    24,
    24,
    24,
    28,
    28,
    28,
    28,
    28,
    28,
    32,
    32,
    32,
    32
  ],
  "num_transformer_layers": 28,
  "qkv_multipliers": [
    0.5,
    1.0
  ],
  "quantization_config": {
    "_load_in_4bit": true,
    "_load_in_8bit": false,
    "bnb_4bit_compute_dtype": "bfloat16",
    "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": [
      "lm_head"
    ],
    "llm_int8_threshold": 6.0,
    "load_in_4bit": true,
    "load_in_8bit": false,
    "quant_method": "bitsandbytes"
  },
  "rope_freq_constant": 10000,
  "rope_max_length": 4096,
  "share_input_output_layers": true,
  "torch_dtype": "float16",
  "transformers_version": "4.42.4",
  "use_cache": true,
  "vocab_size": 32000
}