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Ovis2.6-80B-A3B

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Ovis2.6-80B-A3B
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{
  "architectures": [
    "Ovis2_6_NextForCausalLM"
  ],
  "auto_map": {
    "AutoConfig": "configuration_ovis2_6.Ovis2_6_Next_Config",
    "AutoModelForCausalLM": "modeling_ovis2_6.Ovis2_6_NextForCausalLM"
  },
  "conversation_formatter_class": "Qwen3ConversationFormatter",
  "hidden_size": 2048,
  "vocab_size": 151936,
  "max_position_embeddings": 32768,
  "llm_config": {
    "_name_or_path": "Qwen/Qwen3-Next-80B-A3B-Thinking",
    "architectures": [
      "Qwen3NextForCausalLM"
    ],
    "attention_dropout": 0.0,
    "bos_token_id": 151643,
    "decoder_sparse_step": 1,
    "eos_token_id": 151645,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2048,
    "initializer_range": 0.02,
    "intermediate_size": 5120,
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "max_position_embeddings": 32768,
    "mlp_only_layers": [],
    "model_type": "qwen3_next",
    "moe_intermediate_size": 512,
    "norm_topk_prob": true,
    "num_attention_heads": 16,
    "num_experts": 512,
    "num_experts_per_tok": 10,
    "num_hidden_layers": 48,
    "num_key_value_heads": 2,
    "output_router_logits": false,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_scaling": null,
    "rope_theta": 10000000,
    "router_aux_loss_coef": 0.001,
    "shared_expert_intermediate_size": 512,
    "tie_word_embeddings": false,
    "torch_dtype": "bfloat16",
    "transformers_version": "4.57.0",
    "use_cache": false,
    "use_sliding_window": false,
    "vocab_size": 151936
  },
  "model_type": "ovis2_6_next",
  "torch_dtype": "bfloat16",
  "transformers_version": "4.57.0",
  "use_cache": false,
  "visual_vocab_size": 65536,
  "vit_config": {
    "_attn_implementation_autoset": true,
    "_name_or_path": "google/siglip2-so400m-patch16-512",
    "attention_dropout": 0.0,
    "fullatt_block_indexes": null,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "hidden_stride": 2,
    "image_size": 512,
    "intermediate_size": 4304,
    "layer_norm_eps": 1e-06,
    "model_type": "siglip2_navit",
    "num_attention_heads": 16,
    "num_channels": 3,
    "num_hidden_layers": 27,
    "num_patches": -1,
    "patch_size": 16,
    "preserve_original_pe": true,
    "temporal_patch_size": 1,
    "torch_dtype": "bfloat16",
    "use_rope": true,
    "window_size": 112
  }
}