Upload LIGHTBRAIN model

.gitattributes

@@ -1,35 +1,2 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
 *.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text

Model-001.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ff3d1e31d5c8219c8eb1012bfd681c96e8eb43d2cfbb43a959529e6aeab7168
+size 44407384

README.md

@@ -0,0 +1,44 @@
+# LightTiny 4M - Level 5 Field Dynamics Model
+
+## Overview
+
+LightTiny is a proof-of-concept implementation of the LIGHTBRAIN architecture
+using Level 5 Pure Field Dynamics.
+
+## Architecture
+
+**5-Layer Compression:**
+1. **Field Configuration Storage** - Substrate field, attractors, coupling maps
+2. **Pattern Propagation Router** - Token embeddings, field projections
+3. **Resonance Tiers** - Sparse activation management
+4. **Field Dynamics Engine** - Field evolution parameters
+5. **Bridge + API** - Pattern to token mapping
+
+## Model Statistics
+
+- Total Configurations: 3,997,696
+- Total Parameters: 7,102,464
+- Memory: 27.09 MB
+- Vocab Size: 8000
+- Field Size: 256 x 488
+- Regions: 32
+
+## Key Features
+
+- **Sparse Activation**: Only 5.0% of field active at any time
+- **No Backprop Training**: Uses resonance alignment (Hebbian-like learning)
+- **Pure Field Dynamics**: Parameters are field configurations, not weights
+
+## Usage
+
+```python
+from lightTiny.model.field_model import LightTinyModel
+
+model = LightTinyModel.load("exports/lighttiny-4m")
+result = model.generate_token([2], temperature=0.8)
+print(result.token_id)
+```
+
+## License
+
+Research use only.

config.json

@@ -0,0 +1,31 @@
+{
+  "model_type": "lighttiny",
+  "architectures": [
+    "LightTinyForCausalLM"
+  ],
+  "name": "lighttiny-4m",
+  "vocab_size": 8000,
+  "hidden_dim": 128,
+  "num_regions": 32,
+  "field_size": 256,
+  "field_depth": 488,
+  "total_configs": 3997696,
+  "total_params": 7102464,
+  "layer3_resonance": {
+    "max_active_ratio": 0.05,
+    "activation_threshold": 0.08,
+    "avg_active_ratio": 0.0,
+    "total_activations": 0
+  },
+  "layer4_dynamics": {
+    "coupling_strength": 0.1,
+    "damping": 0.01,
+    "dt": 0.01,
+    "max_evolution_steps": 40,
+    "convergence_threshold": 0.008,
+    "min_coherence": 0.2
+  },
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0
+}

export_stats.json

@@ -0,0 +1,39 @@
+{
+  "model_name": "lighttiny-4m",
+  "version": 1,
+  "total_tensors": 7,
+  "total_size_bytes": 44406688,
+  "total_size_mb": 42.349517822265625,
+  "output_dir": "exports/lighttiny-4m-trained",
+  "model_config": {
+    "model_type": "lighttiny",
+    "architectures": [
+      "LightTinyForCausalLM"
+    ],
+    "name": "lighttiny-4m",
+    "vocab_size": 8000,
+    "hidden_dim": 128,
+    "num_regions": 32,
+    "field_size": 256,
+    "field_depth": 488,
+    "total_configs": 3997696,
+    "total_params": 7102464,
+    "layer3_resonance": {
+      "max_active_ratio": 0.05,
+      "activation_threshold": 0.08,
+      "avg_active_ratio": 0.0,
+      "total_activations": 0
+    },
+    "layer4_dynamics": {
+      "coupling_strength": 0.1,
+      "damping": 0.01,
+      "dt": 0.01,
+      "max_evolution_steps": 40,
+      "convergence_threshold": 0.008,
+      "min_coherence": 0.2
+    },
+    "bos_token_id": 2,
+    "eos_token_id": 3,
+    "pad_token_id": 0
+  }
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "max_length": 256,
+  "temperature": 0.8,
+  "top_k": 50,
+  "top_p": 0.9,
+  "do_sample": true,
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0
+}

tokenizer_config.json

@@ -0,0 +1,11 @@
+{
+  "model_max_length": 2048,
+  "bos_token": "<bos>",
+  "eos_token": "<eos>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>",
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0,
+  "unk_token_id": 1
+}