Sparse-AST-BWM-TopK-MoE
Top-K Mixture-of-Experts (MoE) dynamic gating router connecting Sparse-AST expert backbones for specialized token-level routing on Blender 3D mathematics.
Model Details
- Architecture: Sparse-AST (Top-K MoE Gating Router)
- Parameters: 33,605
- Serialization: SafeTensors (
model.safetensors) - Tied Embeddings: N/A
- Vocabulary: 512 (UTF-8 byte-level tokenization)
- Domain: Procedural 3D Mathematics, Blender Python (
bpy,mathutils,bmesh,numpy,gpu)
Experimentally Measured Benchmarks
Evaluated on the standardized Blender 3D Math & Python Curriculum suite:
| Metric | Measured Result |
|---|---|
| Curriculum Cross-Entropy Loss | 3.8544 |
| Perplexity | 47.20 |
| Evaluation Latency | 14.35s |
| Gating Mechanism | Top-2 Routing ($\tau = 1.0$) |
| Active Backbone Experts | 3M-32, 10M-32, 100M-32, 200M-32 |
Verification & Numerical Integrity
This SafeTensors distribution underwent full CPU verification against the original PyTorch checkpoint:
- Checked Tensors: 7
- Tied Weights Handled: 0
- Max Absolute Error:
0.0(Exact 0.0 bitwise equality) - Verification Status: PASS
Quick Start Inference
from model import TopKSparseASTEnsemble
router = TopKSparseASTEnsemble.from_pretrained('.')
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