config.json

{
  "architectures": [
    "AfmoeForCausalLM"
  ],
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_afmoe.AfmoeConfig",
    "AutoModel": "modeling_afmoe.AfmoeModel",
    "AutoModelForCausalLM": "modeling_afmoe.AfmoeForCausalLM"
  },
  "dtype": "float32",
  "global_attn_every_n_layers": 4,
  "head_dim": 16,
  "hidden_act": "silu",
  "hidden_size": 32,
  "initializer_range": 0.02,
  "intermediate_size": 6144,
  "layer_types": [
    "sliding_attention",
    "full_attention",
    "sliding_attention",
    "full_attention"
  ],
  "max_position_embeddings": 16384,
  "model_type": "afmoe",
  "moe_intermediate_size": 16,
  "mup_enabled": false,
  "n_group": 1,
  "num_attention_heads": 2,
  "num_dense_layers": 2,
  "num_expert_groups": 1,
  "num_experts": 4,
  "num_experts_per_tok": 2,
  "num_hidden_layers": 4,
  "num_key_value_heads": 2,
  "num_limited_groups": 1,
  "num_shared_experts": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "route_norm": true,
  "route_scale": 1.0,
  "score_func": "sigmoid",
  "sliding_window": 1024,
  "tie_word_embeddings": false,
  "topk_group": 1,
  "transformers_version": "4.57.3",
  "use_cache": true,
  "vocab_size": 100352
}