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Ling-2.6-flash-fp8

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Ling-2.6-flash-fp8
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{
  "architectures": [
    "BailingMoeV2_5ForCausalLM"
  ],
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_bailing_moe_v2_5.BailingMoeV2_5Config",
    "AutoModel": "modeling_bailing_moe_v2_5.BailingMoeV2_5Model",
    "AutoModelForCausalLM": "modeling_bailing_moe_v2_5.BailingMoeV2_5ForCausalLM"
  },
  "embedding_dropout": 0.0,
  "eos_token_id": 156895,
  "first_k_dense_replace": 1,
  "group_norm_size": 4,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 9216,
  "kv_lora_rank": 512,
  "layer_group_size": 8,
  "linear_silu": false,
  "max_position_embeddings": 131072,
  "max_window_layers": 20,
  "moe_intermediate_size": 1024,
  "moe_router_enable_expert_bias": true,
  "moe_shared_expert_intermediate_size": 1024,
  "mtp_loss_scaling_factor": 0,
  "n_group": 8,
  "num_attention_heads": 32,
  "num_experts": 256,
  "num_experts_per_tok": 8,
  "num_hidden_layers": 32,
  "num_key_value_heads": 32,
  "num_kv_heads_for_linear_attn": 32,
  "num_nextn_predict_layers": 1,
  "num_shared_experts": 1,
  "output_dropout": 0.0,
  "output_router_logits": false,
  "pad_token_id": 156892,
  "partial_rotary_factor": 0.5,
  "q_lora_rank": 1536,
  "qk_head_dim": 192,
  "qk_nope_head_dim": 128,
  "qk_rope_head_dim": 64,
  "rms_norm_eps": 1e-06,
  "rope_interleave": true,
  "rope_scaling": null,
  "rope_theta": 6000000,
  "rotary_dim": 64,
  "routed_scaling_factor": 2.5,
  "router_dtype": "fp32",
  "score_function": "sigmoid",
  "scoring_func": "sigmoid",
  "seq_aux": true,
  "tie_word_embeddings": false,
  "topk_group": 4,
  "topk_method": "noaux_tc",
  "transformers_version": "4.56.2",
  "use_bias": false,
  "use_cache": true,
  "use_qk_norm": true,
  "use_qkv_bias": false,
  "v_head_dim": 128,
  "vocab_size": 157184,
  "model_type": "bailing_hybrid",
  "torch_dtype": "bfloat16",
  "quantization_config": {
    "activation_scheme": "dynamic",
    "fmt": "e4m3",
    "quant_method": "fp8",
    "modules_to_not_convert": [
      "q_a_proj",
      "q_b_proj",
      "kv_a_proj_with_mqa",
      "kv_b_proj",
      "lm_head"
    ],
    "weight_block_size": [
      128,
      128
    ]
  }
}