Update README.md

README.md

@@ -14,4 +14,71 @@ tags:
 - qwen3-8b
 - symbiotic
 - symbtioicai
+---
+
+# SymbioticLM-8B 
+**Model Type**: Hybrid Symbolic–Transformer  
+**Base Model**: Qwen-8B  
+**Framework**: PyTorch + Transformers-compatible  
+**Purpose**: Long-memory symbolic reasoning + high-fidelity language generation
+
+---
+
+## Overview
+
+SymbioticLM-8B is a state-of-the-art hybrid transformer model with built-in symbolic cognition. It combines an 8B Qwen-based transformer with modular symbolic processors and a persistent memory buffer. The model supports both general conversation and deep symbolic tasks such as theorem generation, logical chaining, and structured reasoning with retained memory across turns.
+
+---
+
+## Architecture Highlights
+
+- **Backbone**: Qwen-8B rotary transformer
+- **Symbolic Dim**: 4096
+- **Symbolic Modules**:
+  - ThoughtDynamicsLNN (multi-head LSTM attention)
+  - CrystallineProcessor (DNAConv GNN)
+  - LiquidThoughtProcessor (recurrent symbol folding)
+  - HelicalDNAProcessor (helical linear projection)
+- **Memory**: 2048 symbolic vectors (float32) with entropy-aware retrieval and contextual recall
+- **Dream Mode**: Self-generates symbolic cognition offline
+
+---
+
+## Files Included
+
+| File                     | Description                                           |
+|--------------------------|-------------------------------------------------------|
+| `model.bin`              | PyTorch weights (LFS tracked)                         |
+| `model.safetensors`      | Same weights in `safetensors` format (recommended)    |
+| `memory.pt`              | Symbolic memory snapshot (entropic, pretrained)       |
+| `config.json`            | Base model configuration                              |
+| `generation_config.json` | Sampling and decoding config (temperature, top_p, etc.)|
+| `tokenizer.json`         | Tokenizer data with custom tags and structure         |
+| `added_tokens.json`      | Extra tokens like `<THM>`, `<PROOF>`, `<D_EPS>`       |
+| `special_tokens_map.json`| Maps for special tokens used during generation        |
+
+---
+
+## Intended Uses
+
+- General symbolic reasoning and logical conversation
+- Memory-aware tutoring, research assistants
+- Code + math proof modeling
+- Context-persistent dialogue systems
+
+---
+
+## Limitations
+
+- Not instruction-tuned (e.g., chat-style inputs may require prompt engineering)
+- Larger memory buffer may increase CPU load slightly
+- Symbolic inference is offline-evolved; memory must be actively seeded
+
+---
+
+## Citations
+
+This model was independently developed by Roy S. Colca Jr.  
+Please credit "SymbioticLM" if using symbolic components in downstream applications.
+
 ---