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{
"architectures": [
"OlmoeForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"clip_qkv": null,
"dtype": "bfloat16",
"eos_token_id": 50279,
"hidden_act": "silu",
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"intermediate_size": 1024,
"max_position_embeddings": 4096,
"model_type": "olmoe",
"norm_topk_prob": false,
"num_attention_heads": 16,
"num_experts": 64,
"num_experts_per_tok": 8,
"num_hidden_layers": 16,
"num_key_value_heads": 16,
"output_router_logits": false,
"pad_token_id": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"router_aux_loss_coef": 0.01,
"tie_word_embeddings": false,
"transformers_version": "4.57.1",
"use_cache": true,
"vocab_size": 50304,
"quantization_config": {
"config_groups": {
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"num_bits": 4,
"type": "float",
"group_size": 16
},
"weights": {
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"num_bits": 4,
"type": "float",
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},
"targets": [
"Linear"
]
}
},
"ignore": [
"lm_head",
"model.layers.0.mlp.gate",
"model.layers.1.mlp.gate",
"model.layers.10.mlp.gate",
"model.layers.11.mlp.gate",
"model.layers.12.mlp.gate",
"model.layers.13.mlp.gate",
"model.layers.14.mlp.gate",
"model.layers.15.mlp.gate",
"model.layers.2.mlp.gate",
"model.layers.3.mlp.gate",
"model.layers.4.mlp.gate",
"model.layers.5.mlp.gate",
"model.layers.6.mlp.gate",
"model.layers.7.mlp.gate",
"model.layers.8.mlp.gate",
"model.layers.9.mlp.gate"
],
"quant_algo": "NVFP4",
"producer": {
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"version": "0.41.0"
},
"quant_method": "modelopt"
}
}