config.json

{
  "architectures": [
    "DotsVLMForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "aux_loss_alpha": 0.001,
  "bos_token_id": 0,
  "eos_token_id": 1,
  "ep_size": 1,
  "first_k_dense_replace": 3,
  "hidden_act": "silu",
  "hidden_size": 7168,
  "initializer_range": 0.02,
  "intermediate_size": 18432,
  "kv_lora_rank": 512,
  "max_position_embeddings": 163840,
  "model_type": "dots_vlm",
  "moe_intermediate_size": 2048,
  "moe_layer_freq": 1,
  "n_group": 8,
  "n_routed_experts": 256,
  "n_shared_experts": 1,
  "norm_topk_prob": true,
  "num_attention_heads": 128,
  "num_experts_per_tok": 8,
  "num_hidden_layers": 61,
  "num_key_value_heads": 128,
  "num_nextn_predict_layers": 1,
  "pretraining_tp": 1,
  "q_lora_rank": 1536,
  "qk_nope_head_dim": 128,
  "qk_rope_head_dim": 64,
  "rms_norm_eps": 1e-06,
  "rope_scaling": {
    "beta_fast": 32,
    "beta_slow": 1,
    "factor": 40,
    "mscale": 1.0,
    "mscale_all_dim": 1.0,
    "original_max_position_embeddings": 4096,
    "type": "yarn"
  },
  "rope_theta": 10000,
  "routed_scaling_factor": 2.5,
  "scoring_func": "sigmoid",
  "seq_aux": true,
  "tie_word_embeddings": false,
  "quantization_config": {
    "activation_scheme": "dynamic",
    "fmt": "e4m3",
    "quant_method": "fp8",
    "weight_block_size": [
      128,
      128
    ],
    "modules_to_not_convert": [
      "vision_tower",
      "visual_tokenizer",
      "vision_model",
      "vision_proj"
    ]
  },
  "topk_group": 4,
  "topk_method": "noaux_tc",
  "torch_dtype": "bfloat16",
  "transformers_version": "4.33.1",
  "use_cache": true,
  "v_head_dim": 128,
  "vocab_size": 129280,
  "image_token_id": 128815,
  "video_token_id": 128836,
  "vision_config": {
    "embed_dim": 1536,
    "hidden_size": 7168,
    "intermediate_size": 4224,
    "num_hidden_layers": 42,
    "num_attention_heads": 12,
    "num_channels": 3,
    "patch_size": 14,
    "post_norm": true,
    "rms_norm_eps": 1e-05,
    "spatial_merge_size": 2,
    "temporal_patch_size": 1,
    "use_bias": false,
    "attn_implementation": "flash_attention_2",
    "init_merger_std": 0.02,
    "initializer_range": 0.02,
    "is_causal": false
  }
}