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config.json

@@ -1,14 +1,37 @@
 {
-  "architectures": [
-    "FELONModel"
-  ],
-  "model_type": "felon",
-  "vocab_size": 4096,
-  "hidden_size": 512,
-  "num_hidden_layers": 4,
-  "num_attention_heads": 8,
-  "max_position_embeddings": 1024,
-  "n_nanobots": 1000,
-  "hidden_act": "gelu",
-  "initializer_range": 0.02
-}
+  "_name_or_path": "FerrellSyntheticIntelligence/FSI_FELON",
+  "model_type": "fsi_felon",
+  "architectures": ["FSIFelonForCausalLM"],
+  "nanobot_config": {
+    "count": 1024,
+    "emergence_threshold": 0.78,
+    "stochastic_factor": 0.15
+  },
+  "chimera_config": {
+    "organs": ["antennae", "spine", "hippocampus", "cerebellum", "prefrontal", "dream"],
+    "pheromone_decay": 0.05,
+    "routing_strategy": "stigmergic"
+  },
+  "transformer_config": {
+    "num_layers": 10,
+    "d_model": 384,
+    "num_heads": 6,
+    "d_ff": 768,
+    "max_seq_len": 2048,
+    "activation": "gelu",
+    "dropout": 0.1
+  },
+  "training_config": {
+    "learning_rate": 0.0003,
+    "warmup_steps": 1000,
+    "cosine_decay_steps": 99000,
+    "label_smoothing": 0.1,
+    "batch_size": 8,
+    "optimizer": "adamw"
+  },
+  "total_parameters": 18426880,
+  "pipeline_tag": "text-generation",
+  "license": "mit",
+  "language": ["en", "python"],
+  "tags": ["fsi-felon", "synthetic-intelligence", "code-generation", "nanobot-swarm", "self-architecting"]
+}