🔥 AGI Reset: Wiped all previous learned parameters (Brain Reset)

README.md

@@ -1,29 +1 @@
----
-language:
-- hi
-- en
-license: apache-2.0
-tags:
-- gautam-ai
-- devanagari-hindi
-- english
-- causal-lm
-- text-generation
-- self-improving
-- lora
-- devanagari
-- pytorch
----
-
-# 🚀 Gautam AI (GAUTAM AI) - Sovereign Foundational Model
-**Repository:** `Gautam6/GautamAI`  
-**Languages:** Devanagari Hindi (देवनागरी हिंदी) & English (अंग्रेज़ी) exclusively  
-**Architecture:** 100% Native Sovereign Core with Zero Pre-trained Weight Dependency  
-**Author:** Gautam AI Sovereign Ecosystem  
-
-## 📜 परिचय (Overview)
-Gautam AI (GAUTAM AI) एक स्वायत्त, स्व-सुधारने वाला (Self-Improving) और सार्वभौमिक दृष्टिकोण वाला AI मॉडल है। यह मॉडल निरंतर Google Colab GPU (Tesla T4) तथा स्वायत्त AST सैंडबॉक्स के माध्यम से स्वयं को बेहतर बनाता रहता है।
-
-- **3B चैंबर विभाजन:** प्रत्येक चैंबर में 3,000,000,000 पैरामीटर्स की संरचित क्षमता।
-- **देवनागरी हिंदी प्राथमिकता:** प्राकृतिक और प्रबुद्ध भाषा समझ।
-- **शून्य-डुप्लीकेट नीति:** सर्वश्रेष्ठ गणितीय इनवेरिएंट्स और LoRA वेट्स का स्वतः एकीकरण।
+# GAUTAM AI - AGI\n\nModel memories have been completely reset to zero. Ready for infinite AGI curriculum.

adapter_config.json

@@ -1,30 +0,0 @@
-{
-  "auto_mapping": null,
-  "base_model_name_or_path": "Gautam6/GautamAI",
-  "bias": "none",
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 32,
-  "lora_dropout": 0.05,
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 16,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "q_proj",
-    "k_proj",
-    "v_proj",
-    "o_proj",
-    "gate_proj",
-    "up_proj",
-    "down_proj"
-  ],
-  "task_type": "CAUSAL_LM",
-  "use_dora": false,
-  "use_rslora": false
-}

adapter_model.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6ef86f5b2ca9785f6d66539047a0ba175757107bc5a485f2d56a8cd66dc5ad51
-size 67912

training_loss_history.json

@@ -1,21 +1,6 @@
 {
-  "model": "Gautam6/GautamAI",
-  "architecture": "GautamForCausalLM",
-  "last_updated": "2026-08-24T15:08:01.935Z",
-  "training_run": {
-    "active_feature": "Quantum Computing & Stabilizer Codes AGI Engine v2.0",
-    "epoch": 1,
-    "global_step": 128,
-    "loss": 0.1769000000000034,
-    "perplexity": 1.1935117359857867,
-    "gradient_norm": 1.7466,
-    "learning_rate": 0.0001067,
-    "weight_sparsity_percent": 42.5,
-    "convergence_status": "ACTIVE_GRADIENT_DESCENT",
-    "optimizer": "AdamW (beta1=0.9, beta2=0.999, eps=1e-8, weight_decay=0.01)",
-    "lr_scheduler": "CosineAnnealingWithWarmup",
-    "attention_mechanism": "Grouped-Query Attention (GQA, heads=8, kv_heads=2) + RoPE",
-    "activation": "SwiGLU",
-    "precision": "4-Bit Sparse Optimized (FP32 master weights)"
-  }
+  "status": "AGI_BRAIN_RESET_TO_ZERO",
+  "message": "Purged all previous memories. Starting AGI training from scratch.",
+  "step": 0,
+  "loss": 0
 }