config.json

{
  "architectures": [
    "HyperCLOVAXForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "attention_multiplier": 0.0078125,
  "attn_pdrop": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_hyperclovax.HyperCLOVAXConfig",
    "AutoModel": "modeling_hyperclovax.HyperCLOVAXModel",
    "AutoModelForCausalLM": "modeling_hyperclovax.HyperCLOVAXForCausalLM"
  },
  "bos_token_id": 100257,
  "embd_pdrop": 0.0,
  "embedding_multiplier": 10.0,
  "end_token_id": 100257,
  "eos_token_id": 100257,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 6144,
  "initializer_range": 0.012727922061357854,
  "intermediate_size": 14336,
  "logits_scaling": 0.125,
  "max_position_embeddings": 131072,
  "mlp_bias": false,
  "model_type": "hyperclovax",
  "num_attention_heads": 48,
  "num_hidden_layers": 38,
  "num_key_value_heads": 8,
  "pad_token_id": 100257,
  "pretraining_tp": 1,
  "quantization_config": {
    "bits": 4,
    "checkpoint_format": "gptq",
    "desc_act": false,
    "group_size": 128,
    "hyb_act": false,
    "lm_head": false,
    "meta": {
      "damp_auto_increment": 0.01,
      "damp_percent": 0.05,
      "mse": 0.0,
      "quantizer": [
        "gptqmodel:4.0.0"
      ],
      "static_groups": false,
      "true_sequential": true,
      "uri": "https://github.com/modelcloud/gptqmodel",
      "v2": false,
      "v2_alpha": 0.25
    },
    "pack_dtype": "int32",
    "quant_method": "gptq",
    "sym": true
  },
  "resid_pdrop": 0.0,
  "residual_multiplier": 1.0,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 100000000,
  "summary_first_dropout": 0.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.52.4",
  "use_cache": false,
  "use_post_norm": true,
  "vocab_size": 110592
}