MangoLab's picture
Upload modelC (GPTQ, compressed-tensors)
9b014c7 verified
{
"architectures": [
"Exaone4ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"dtype": "bfloat16",
"eos_token_id": 361,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 65536,
"model_type": "exaone4",
"num_attention_heads": 32,
"num_hidden_layers": 30,
"num_key_value_heads": 8,
"pad_token_id": 0,
"quantization_config": {
"config_groups": {
"group_0": {
"format": "pack-quantized",
"input_activations": null,
"output_activations": null,
"targets": [
"model.layers.0.self_attn.k_proj",
"model.layers.0.self_attn.o_proj",
"model.layers.0.self_attn.q_proj",
"model.layers.0.self_attn.v_proj",
"model.layers.1.self_attn.k_proj",
"model.layers.1.self_attn.o_proj",
"model.layers.1.self_attn.q_proj",
"model.layers.1.self_attn.v_proj",
"model.layers.10.self_attn.k_proj",
"model.layers.10.self_attn.o_proj",
"model.layers.10.self_attn.q_proj",
"model.layers.10.self_attn.v_proj",
"model.layers.11.self_attn.k_proj",
"model.layers.11.self_attn.o_proj",
"model.layers.11.self_attn.q_proj",
"model.layers.11.self_attn.v_proj",
"model.layers.12.self_attn.k_proj",
"model.layers.12.self_attn.o_proj",
"model.layers.12.self_attn.q_proj",
"model.layers.12.self_attn.v_proj",
"model.layers.13.self_attn.k_proj",
"model.layers.13.self_attn.o_proj",
"model.layers.13.self_attn.q_proj",
"model.layers.13.self_attn.v_proj",
"model.layers.14.self_attn.k_proj",
"model.layers.14.self_attn.o_proj",
"model.layers.14.self_attn.q_proj",
"model.layers.14.self_attn.v_proj",
"model.layers.15.self_attn.k_proj",
"model.layers.15.self_attn.o_proj",
"model.layers.15.self_attn.q_proj",
"model.layers.15.self_attn.v_proj",
"model.layers.16.self_attn.k_proj",
"model.layers.16.self_attn.o_proj",
"model.layers.16.self_attn.q_proj",
"model.layers.16.self_attn.v_proj",
"model.layers.17.self_attn.k_proj",
"model.layers.17.self_attn.o_proj",
"model.layers.17.self_attn.q_proj",
"model.layers.17.self_attn.v_proj",
"model.layers.18.self_attn.k_proj",
"model.layers.18.self_attn.o_proj",
"model.layers.18.self_attn.q_proj",
"model.layers.18.self_attn.v_proj",
"model.layers.19.self_attn.k_proj",
"model.layers.19.self_attn.o_proj",
"model.layers.19.self_attn.q_proj",
"model.layers.19.self_attn.v_proj",
"model.layers.2.self_attn.k_proj",
"model.layers.2.self_attn.o_proj",
"model.layers.2.self_attn.q_proj",
"model.layers.2.self_attn.v_proj",
"model.layers.20.self_attn.k_proj",
"model.layers.20.self_attn.o_proj",
"model.layers.20.self_attn.q_proj",
"model.layers.20.self_attn.v_proj",
"model.layers.21.self_attn.k_proj",
"model.layers.21.self_attn.o_proj",
"model.layers.21.self_attn.q_proj",
"model.layers.21.self_attn.v_proj",
"model.layers.22.self_attn.k_proj",
"model.layers.22.self_attn.o_proj",
"model.layers.22.self_attn.q_proj",
"model.layers.22.self_attn.v_proj",
"model.layers.23.self_attn.k_proj",
"model.layers.23.self_attn.o_proj",
"model.layers.23.self_attn.q_proj",
"model.layers.23.self_attn.v_proj",
"model.layers.24.self_attn.k_proj",
"model.layers.24.self_attn.o_proj",
"model.layers.24.self_attn.q_proj",
"model.layers.24.self_attn.v_proj",
"model.layers.25.self_attn.k_proj",
"model.layers.25.self_attn.o_proj",
"model.layers.25.self_attn.q_proj",
"model.layers.25.self_attn.v_proj",
"model.layers.26.self_attn.k_proj",
"model.layers.26.self_attn.o_proj",
"model.layers.26.self_attn.q_proj",
"model.layers.26.self_attn.v_proj",
"model.layers.27.self_attn.k_proj",
"model.layers.27.self_attn.o_proj",
"model.layers.27.self_attn.q_proj",
"model.layers.27.self_attn.v_proj",
"model.layers.28.self_attn.k_proj",
"model.layers.28.self_attn.o_proj",
"model.layers.28.self_attn.q_proj",
"model.layers.28.self_attn.v_proj",
"model.layers.29.self_attn.k_proj",
"model.layers.29.self_attn.o_proj",
"model.layers.29.self_attn.q_proj",
"model.layers.29.self_attn.v_proj",
"model.layers.3.self_attn.k_proj",
"model.layers.3.self_attn.o_proj",
"model.layers.3.self_attn.q_proj",
"model.layers.3.self_attn.v_proj",
"model.layers.4.self_attn.k_proj",
"model.layers.4.self_attn.o_proj",
"model.layers.4.self_attn.q_proj",
"model.layers.4.self_attn.v_proj",
"model.layers.5.self_attn.k_proj",
"model.layers.5.self_attn.o_proj",
"model.layers.5.self_attn.q_proj",
"model.layers.5.self_attn.v_proj",
"model.layers.6.self_attn.k_proj",
"model.layers.6.self_attn.o_proj",
"model.layers.6.self_attn.q_proj",
"model.layers.6.self_attn.v_proj",
"model.layers.7.self_attn.k_proj",
"model.layers.7.self_attn.o_proj",
"model.layers.7.self_attn.q_proj",
"model.layers.7.self_attn.v_proj",
"model.layers.8.self_attn.k_proj",
"model.layers.8.self_attn.o_proj",
"model.layers.8.self_attn.q_proj",
"model.layers.8.self_attn.v_proj",
"model.layers.9.self_attn.k_proj",
"model.layers.9.self_attn.o_proj",
"model.layers.9.self_attn.q_proj",
"model.layers.9.self_attn.v_proj"
],
"weights": {
"actorder": "dynamic",
"block_structure": null,
"dynamic": false,
"group_size": 128,
"num_bits": 8,
"observer": "minmax",
"observer_kwargs": {},
"scale_dtype": null,
"strategy": "group",
"symmetric": true,
"type": "int",
"zp_dtype": null
}
},
"group_1": {
"format": "pack-quantized",
"input_activations": null,
"output_activations": null,
"targets": [
"model.layers.0.mlp.down_proj",
"model.layers.0.mlp.gate_proj",
"model.layers.0.mlp.up_proj",
"model.layers.1.mlp.down_proj",
"model.layers.1.mlp.gate_proj",
"model.layers.1.mlp.up_proj",
"model.layers.10.mlp.down_proj",
"model.layers.10.mlp.gate_proj",
"model.layers.10.mlp.up_proj",
"model.layers.11.mlp.down_proj",
"model.layers.11.mlp.gate_proj",
"model.layers.11.mlp.up_proj",
"model.layers.12.mlp.down_proj",
"model.layers.12.mlp.gate_proj",
"model.layers.12.mlp.up_proj",
"model.layers.13.mlp.down_proj",
"model.layers.13.mlp.gate_proj",
"model.layers.13.mlp.up_proj",
"model.layers.14.mlp.down_proj",
"model.layers.14.mlp.gate_proj",
"model.layers.14.mlp.up_proj",
"model.layers.15.mlp.down_proj",
"model.layers.15.mlp.gate_proj",
"model.layers.15.mlp.up_proj",
"model.layers.16.mlp.down_proj",
"model.layers.16.mlp.gate_proj",
"model.layers.16.mlp.up_proj",
"model.layers.17.mlp.down_proj",
"model.layers.17.mlp.gate_proj",
"model.layers.17.mlp.up_proj",
"model.layers.18.mlp.down_proj",
"model.layers.18.mlp.gate_proj",
"model.layers.18.mlp.up_proj",
"model.layers.19.mlp.down_proj",
"model.layers.19.mlp.gate_proj",
"model.layers.19.mlp.up_proj",
"model.layers.2.mlp.down_proj",
"model.layers.2.mlp.gate_proj",
"model.layers.2.mlp.up_proj",
"model.layers.20.mlp.down_proj",
"model.layers.20.mlp.gate_proj",
"model.layers.20.mlp.up_proj",
"model.layers.21.mlp.down_proj",
"model.layers.21.mlp.gate_proj",
"model.layers.21.mlp.up_proj",
"model.layers.22.mlp.down_proj",
"model.layers.22.mlp.gate_proj",
"model.layers.22.mlp.up_proj",
"model.layers.23.mlp.down_proj",
"model.layers.23.mlp.gate_proj",
"model.layers.23.mlp.up_proj",
"model.layers.24.mlp.down_proj",
"model.layers.24.mlp.gate_proj",
"model.layers.24.mlp.up_proj",
"model.layers.25.mlp.down_proj",
"model.layers.25.mlp.gate_proj",
"model.layers.25.mlp.up_proj",
"model.layers.26.mlp.down_proj",
"model.layers.26.mlp.gate_proj",
"model.layers.26.mlp.up_proj",
"model.layers.27.mlp.down_proj",
"model.layers.27.mlp.gate_proj",
"model.layers.27.mlp.up_proj",
"model.layers.28.mlp.down_proj",
"model.layers.28.mlp.gate_proj",
"model.layers.28.mlp.up_proj",
"model.layers.29.mlp.down_proj",
"model.layers.29.mlp.gate_proj",
"model.layers.29.mlp.up_proj",
"model.layers.3.mlp.down_proj",
"model.layers.3.mlp.gate_proj",
"model.layers.3.mlp.up_proj",
"model.layers.4.mlp.down_proj",
"model.layers.4.mlp.gate_proj",
"model.layers.4.mlp.up_proj",
"model.layers.5.mlp.down_proj",
"model.layers.5.mlp.gate_proj",
"model.layers.5.mlp.up_proj",
"model.layers.6.mlp.down_proj",
"model.layers.6.mlp.gate_proj",
"model.layers.6.mlp.up_proj",
"model.layers.7.mlp.down_proj",
"model.layers.7.mlp.gate_proj",
"model.layers.7.mlp.up_proj",
"model.layers.8.mlp.down_proj",
"model.layers.8.mlp.gate_proj",
"model.layers.8.mlp.up_proj",
"model.layers.9.mlp.down_proj",
"model.layers.9.mlp.gate_proj",
"model.layers.9.mlp.up_proj"
],
"weights": {
"actorder": "dynamic",
"block_structure": null,
"dynamic": false,
"group_size": 128,
"num_bits": 8,
"observer": "minmax",
"observer_kwargs": {},
"scale_dtype": null,
"strategy": "group",
"symmetric": true,
"type": "int",
"zp_dtype": null
}
}
},
"format": "pack-quantized",
"global_compression_ratio": null,
"ignore": [
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {},
"version": "0.13.0"
},
"rms_norm_eps": 1e-05,
"rope_scaling": {
"factor": 16.0,
"high_freq_factor": 4.0,
"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_type": "llama3"
},
"rope_theta": 1000000.0,
"sliding_window": null,
"sliding_window_pattern": null,
"tie_word_embeddings": true,
"transformers_version": "4.56.2",
"use_cache": true,
"vocab_size": 102400
}