{ "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 }