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 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-## Uses
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-### Direct Use
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-## Bias, Risks, and Limitations
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-### Recommendations
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-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
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-## Evaluation
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-#### Factors
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-#### Summary
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-## Environmental Impact
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
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 ---
 library_name: transformers
+tags:
+- swarm
+- ai
+- agent
+- llm
+- convergent
+- cpu
+- fp32
+- agi
+license: apache-2.0
+datasets:
+- roneneldan/TinyStories
+- openai/gsm8k
+- MuskumPillerum/General-Knowledge
+- agentica-org/DeepCoder-Preview-Dataset
+- tangyuhang/KnowLogic
+language:
+- en
+pipeline_tag: text-generation
+new_version: reaperdoesntknow/CasualSwarms
 ---
+# SAGI V3.2 - SELF-AWARE AGI
+**SAGI (Swarm AGI)** is a novel causal language model that integrates **swarm intelligence dynamics** with transformer architecture. The model treats cognition as a dynamic, adaptive system where multiple internal "agents" collaborate through differentiable routing, trust mechanisms, and shared memory.
+V3.2 introduces a revolutionary **Self-Assessment Layer**, allowing the system to predict its own performance, identify skill gaps, and autonomously design its own learning curriculum.
+## 🌟 Architecture Evolution: Swarm-8 V3.2
+```
+┌─────────────────────────────────────────────────────────────────────────┐
+│                    Swarm-8 V3.2 - SELF-AWARE AGI                        │
+├─────────────────────────────────────────────────────────────────────────┤
+│                                                                         │
+│  ┌────────────────────────────────────────────────────────────────┐   │
+│  │                    SELF-ASSESSMENT LAYER                       │   │
+│  ├────────────────────────────────────────────────────────────────┤   │
+│  │  • Performance Predictor     • Skill Gap Analyzer              │   │
+│  │  • Auto-Curriculum Gen       • Real-Time Error Detector        │   │
+│  │  • Capability Boundary Detector                                 │   │
+│  └────────────────────────────────────────────────────────────────┘   │
+│                                                                         │
+│  ┌────────────────────────────────────────────────────────────────┐   │
+│  │                  AGI CORE (7 Subsystems)                       │   │
+│  ├────────────────────────────────────────────────────────────────┤   │
+│  │  • Hierarchical Memory       • Causal World Model              │   │
+│  │  • Meta-Learner              • Concept Library                 │   │
+│  │  • Reflection Engine         • Uncertainty Reasoner            │   │
+│  │  • Adversarial Self-Play                                       │   │
+│  └────────────────────────────────────────────────────────────────┘   │
+│                                                                         │
+│  ┌────────────────────────────────────────────────────────────────┐   │
+│  │                 SWARM CORE (20 Agents)                         │   │
+│  ├────────────────────────────────────────────────────────────────┤   │
+│  │  • Vectorized Agents         • Differentiable Routing          │   │
+│  │  • Dynamic Resource Mgmt     • Trust-Based Activation          │   │
+│  └────────────────────────────────────────────────────────────────┘   │
+└─────────────────────────────────────────────────────────────────────────┘
+```
+## 🚀 Key V3.2 Enhancements
+*   **Predictive Self-Awareness:** Estimates success probability and identifies risks *before* attempting a task.
+*   **Skill Taxonomy:** Systematic tracking of 24 core skills across Cognition, Knowledge, Code, Creativity, and Planning.
+*   **Autonomous Learning:** Self-designed, personalized learning paths via the Auto-Curriculum Generator.
+*   **Real-Time Correction:** Proactive error detection during the generation process.
+*   **Boundary Mapping:** Precise identification of capability edges with expansion strategies.
+## 💻 Usage
+### Installation
+```bash
+pip install torch transformers datasets sagi-swarm
+```
+### Quick Start
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("reaperdoesntknow/SAGI")
+tokenizer = AutoTokenizer.from_pretrained("reaperdoesntknow/SAGI")
+# Generate text
+prompt = "Explain the concept of emergence in swarm intelligence:"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=150,
+    temperature=0.7,
+    do_sample=True,
+    pad_token_id=tokenizer.eos_token_id,
+)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+## 📊 Skill Taxonomy (24 Core Skills)
+*   **Cognition:** Pattern recognition, Causal reasoning, Concept formation.
+*   **Knowledge:** Fact retrieval, Knowledge integration, Common sense.
+*   **Code:** Syntax understanding, Algorithm design, Debugging, Optimization.
+*   **Creativity:** Divergent thinking, Novel combination, Generative synthesis.
+*   **Planning:** Goal decomposition, Dependency analysis, Resource allocation.
+*   **Meta-Cognition:** Self-monitoring, Error detection, Strategy selection, Uncertainty quantification.
+## 🧠 Decision Flow (V3.2)
+1.  **Pre-Assessment:** Predict success, identify risks, recommend strategy.
+2.  **Execution:** Generate with selected strategy.
+3.  **Real-Time Monitoring:** Catch and correct errors during generation.
+4.  **Post-Assessment:** Update skill proficiencies, check boundaries, refine future predictions.
+5.  **Learning:** Update internal models and curricula.
+## ⚠️ Safety & Limitations
+*   **Experimental Research Prototype:** Not intended for production use.
+*   **Code Execution:** Model includes tool-use capabilities (Python sandbox). Use with caution.
+*   **Intrinsic Motivation:** Self-improving systems may exhibit unpredictable growth patterns.
+## 📄 License
+Apache License 2.0
+## 📝 Citation
+```bibtex
+@software{sagi2026,
+  title={SAGI: Self-Aware General Intelligence System},
+  author={Reaperdoesntknow},
+  year={2026},
+  url={https://huggingface.co/reaperdoesntknow/SAGI},
+  version={3.2.0}
+}
+```