config.json

{
  "_name_or_path": "microsoft/Phi-3.5-MoE-instruct",
  "architectures": [
    "PhiMoEForCausalLM"
  ],
  "attention_bias": true,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_phimoe.PhiMoEConfig",
    "AutoModelForCausalLM": "modeling_phimoe.PhiMoEForCausalLM"
  },
  "bos_token_id": 1,
  "eos_token_id": 32000,
  "hidden_act": "silu",
  "hidden_dropout": 0.0,
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "input_jitter_noise": 0.01,
  "intermediate_size": 6400,
  "lm_head_bias": true,
  "max_position_embeddings": 131072,
  "model_type": "phimoe",
  "num_attention_heads": 32,
  "num_experts_per_tok": 2,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "num_local_experts": 16,
  "original_max_position_embeddings": 4096,
  "output_router_logits": false,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "long_factor": [
      1.0199999809265137,
      1.0299999713897705,
      1.0399999618530273,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.059999942779541,
      1.059999942779541,
      1.059999942779541,
      1.059999942779541,
      1.059999942779541,
      1.059999942779541,
      1.0999999046325684,
      1.1799999475479126,
      1.1799999475479126,
      1.3700000047683716,
      1.4899998903274536,
      2.109999895095825,
      2.8899998664855957,
      3.9499998092651367,
      4.299999713897705,
      6.429999828338623,
      8.09000015258789,
      10.690000534057617,
      12.050000190734863,
      18.229999542236328,
      18.84000015258789,
      19.899999618530273,
      21.420000076293945,
      26.200000762939453,
      34.28000259399414,
      34.590003967285156,
      38.730003356933594,
      40.22000503540039,
      42.54000473022461,
      44.000003814697266,
      47.590003967285156,
      54.750003814697266,
      56.19000244140625,
      57.44000244140625,
      57.4900016784668,
      61.20000076293945,
      61.540000915527344,
      61.75,
      61.779998779296875,
      62.06999969482422,
      63.11000061035156,
      63.43000030517578,
      63.560001373291016,
      63.71000289916992,
      63.92000198364258,
      63.94000244140625,
      63.94000244140625,
      63.96000289916992,
      63.980003356933594,
      64.0300064086914,
      64.0300064086914,
      64.0300064086914,
      64.04000854492188,
      64.10000610351562,
      64.19000244140625,
      64.20999908447266,
      64.75,
      64.95999908447266
    ],
    "long_mscale": 1.243163121016122,
    "original_max_position_embeddings": 4096,
    "short_factor": [
      1.0,
      1.0399999618530273,
      1.0399999618530273,
      1.0399999618530273,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.0499999523162842,
      1.059999942779541,
      1.059999942779541,
      1.0699999332427979,
      1.0699999332427979,
      1.0699999332427979,
      1.0699999332427979,
      1.1399999856948853,
      1.159999966621399,
      1.159999966621399,
      1.159999966621399,
      1.159999966621399,
      1.1799999475479126,
      1.1999999284744263,
      1.3199999332427979,
      1.3399999141693115,
      1.3499999046325684,
      1.3999998569488525,
      1.4799998998641968,
      1.4999998807907104,
      1.589999794960022,
      1.6499998569488525,
      1.71999990940094,
      1.8999998569488525,
      1.9099998474121094,
      1.9099998474121094,
      1.9899998903274536,
      1.9999998807907104,
      1.9999998807907104,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.009999990463257,
      2.0999999046325684,
      2.319999933242798,
      2.419999837875366,
      2.5899999141693115,
      2.7899999618530273
    ],
    "short_mscale": 1.243163121016122,
    "type": "longrope"
  },
  "rope_theta": 10000.0,
  "router_aux_loss_coef": 0.0,
  "router_jitter_noise": 0.01,
  "sliding_window": 131072,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.44.2",
  "use_cache": true,
  "vocab_size": 32064,
  "quantization_config": {
    "config_groups": {
      "group_0": {
        "input_activations": {
          "actorder": null,
          "block_structure": null,
          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "tensor",
          "symmetric": true,
          "type": "float"
        },
        "output_activations": null,
        "targets": [
          "Linear"
        ],
        "weights": {
          "actorder": null,
          "block_structure": null,
          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "tensor",
          "symmetric": true,
          "type": "float"
        }
      }
    },
    "format": "float-quantized",
    "global_compression_ratio": 1.56406776155077,
    "ignore": [
      "model.layers.0.block_sparse_moe.gate",
      "model.layers.1.block_sparse_moe.gate",
      "model.layers.2.block_sparse_moe.gate",
      "model.layers.3.block_sparse_moe.gate",
      "model.layers.4.block_sparse_moe.gate",
      "model.layers.5.block_sparse_moe.gate",
      "model.layers.6.block_sparse_moe.gate",
      "model.layers.7.block_sparse_moe.gate",
      "model.layers.8.block_sparse_moe.gate",
      "model.layers.9.block_sparse_moe.gate",
      "model.layers.10.block_sparse_moe.gate",
      "model.layers.11.block_sparse_moe.gate",
      "model.layers.12.block_sparse_moe.gate",
      "model.layers.13.block_sparse_moe.gate",
      "model.layers.14.block_sparse_moe.gate",
      "model.layers.15.block_sparse_moe.gate",
      "model.layers.16.block_sparse_moe.gate",
      "model.layers.17.block_sparse_moe.gate",
      "model.layers.18.block_sparse_moe.gate",
      "model.layers.19.block_sparse_moe.gate",
      "model.layers.20.block_sparse_moe.gate",
      "model.layers.21.block_sparse_moe.gate",
      "model.layers.22.block_sparse_moe.gate",
      "model.layers.23.block_sparse_moe.gate",
      "model.layers.24.block_sparse_moe.gate",
      "model.layers.25.block_sparse_moe.gate",
      "model.layers.26.block_sparse_moe.gate",
      "model.layers.27.block_sparse_moe.gate",
      "model.layers.28.block_sparse_moe.gate",
      "model.layers.29.block_sparse_moe.gate",
      "model.layers.30.block_sparse_moe.gate",
      "model.layers.31.block_sparse_moe.gate",
      "lm_head"
    ],
    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "compressed"
  }
}