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tiny-random-minicpm3

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minicpm3
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tiny-random-minicpm3
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{
  "_name_or_path": "/home/ea/work/my_optimum_intel/optimum-intel/minicpm3",
  "architectures": [
    "MiniCPM3ForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_minicpm.MiniCPM3Config",
    "AutoModel": "modeling_minicpm.MiniCPM3Model",
    "AutoModelForCausalLM": "modeling_minicpm.MiniCPM3ForCausalLM",
    "AutoModelForSeq2SeqLM": "modeling_minicpm.MiniCPM3ForCausalLM",
    "AutoModelForSequenceClassification": "modeling_minicpm.MiniCPM3ForSequenceClassification"
  },
  "bos_token_id": 1,
  "dim_model_base": 32,
  "eos_token_id": [
    2,
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  ],
  "head_dim": 96,
  "hidden_act": "silu",
  "hidden_size": 256,
  "initializer_range": 0.1,
  "intermediate_size": 64,
  "kv_lora_rank": 4,
  "max_position_embeddings": 32768,
  "model_type": "minicpm3",
  "num_attention_heads": 4,
  "num_hidden_layers": 6,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "q_lora_rank": 64,
  "qk_nope_head_dim": 64,
  "qk_rope_head_dim": 32,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "long_factor": [
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    ],
    "original_max_position_embeddings": 32768,
    "short_factor": [
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      13.062047352306353,
      14.85530648787323,
      15.906017515851266,
      16.461961959767827,
      16.740306425132907,
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      16.940876586213285
    ],
    "type": "longrope"
  },
  "rope_theta": 10000.0,
  "scale_depth": 1.4,
  "scale_emb": 12,
  "torch_dtype": "float32",
  "transformers_version": "4.46.2",
  "use_cache": true,
  "v_head_dim": 64,
  "vocab_size": 73448
}