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Model: hyper-accel/tiny-random-exaone Source: Original Platform
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34
config.json
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34
config.json
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{
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"_attn_implementation_autoset": false,
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"_name_or_path": "LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct",
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"activation_function": "silu",
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"architectures": [
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"ExaoneForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "configuration_exaone.ExaoneConfig",
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"AutoModelForCausalLM": "modeling_exaone.ExaoneForCausalLM",
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"AutoModelForSequenceClassification": "models.exaone.modeling_exaone.ExaoneForSequenceClassification"
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},
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"bos_token_id": 1,
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"embed_dropout": 0.0,
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"eos_token_id": 361,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3584,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 4096,
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"model_type": "exaone",
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"num_attention_heads": 8,
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"num_key_value_heads": 2,
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"num_layers": 2,
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"pad_token_id": 0,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.44.0",
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"use_cache": true,
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"vocab_size": 102400
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}
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