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nitrai-research
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Moderato-V1-Pro

Text Generation
Transformers
Safetensors
GGUF
multilingual
English
code
moderato_moe
Mixture of Experts
mixture-of-experts
reflexive-role-routing
code-generation
reasoning
qwen
qwen3_8
qwen3.8
llama.cpp
ollama
conversational
Eval Results
Model card Files
xet
 Community
3
Moderato-V1-Pro
File size: 5,315 Bytes
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{
  "architectures": [
    "ModeratoRRRMoeForCausalLM"
  ],
  "image_token_id": 248056,
  "language_model_only": false,
  "model_type": "moderato_moe",
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": 248044,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 5120,
    "initializer_range": 0.02,
    "intermediate_size": 17408,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
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      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 48,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "model_type": "qwen3_5_text",
    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 24,
    "num_hidden_layers": 64,
    "num_key_value_heads": 4,
    "output_gate_type": "swish",
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
        11,
        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": false,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": false,
  "transformers_version": "5.8.0.dev0",
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 27,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4304,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 5120,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_start_token_id": 248053,
  "num_experts": 6,
  "num_experts_per_tok": 2,
  "total_parameters": "113.3B",
  "active_parameters": "32.7B",
  "rrr_technology": {
    "enabled": true,
    "version": "1.0",
    "level1_static_moe_gate": "Softmax(TopK(Wg * x + eps, k=2))",
    "level2_divergence_probe": "Checkpointed Divergence Probe p_theta(h_t, g)",
    "divergence_interval_tokens": 64,
    "divergence_threshold": 0.3,
    "confidence_threshold": 0.5,
    "state_transitions": {
      "continue": "delta < 0.3 (Fast path)",
      "redirect": "delta >= 0.3, c >= 0.5 (Hot-swap specialized expert without context loss)",
      "escalate": "c < 0.5 (Escape to meta-orchestrator)"
    },
    "experts": [
      {
        "id": 0,
        "name": "anti_bloat",
        "specialization": "Clean concise code without boilerplate"
      },
      {
        "id": 1,
        "name": "clean_diffs",
        "specialization": "Git unified diff patches and surgical edits"
      },
      {
        "id": 2,
        "name": "deep_math_cot",
        "specialization": "Complex mathematical reasoning and CoT"
      },
      {
        "id": 3,
        "name": "systems_rust",
        "specialization": "Low-level systems, memory safety and Rust"
      },
      {
        "id": 4,
        "name": "modern_apis",
        "specialization": "Modern SWE APIs, frameworks and async"
      },
      {
        "id": 5,
        "name": "agentic_fable",
        "specialization": "Autonomous agent planning and reflection"
      }
    ]
  }
}