VIL Encoder v1.2 (GVL-P)

⚠️ This model does not tokenize language.
All inputs are compiled into a canonical glyph IR (base-111).

Architecture

• Vision Encoder: GlyphVisionEncoder
• Temporal Head: TemporalGlyphTransformer
• Embedding Dimension: 768
• Canon Size: 111
• Deterministic: Yes

Training (GVL-P v1.2)

1. Arbitrary input (text, code, binary)
2. Deterministic compilation → glyph indices
3. Sliding temporal windows
4. Next-step temporal consistency objective

Intended Use

• Execution-aware embeddings
• Vision–language research
• Glyph-based reasoning systems
• Multimodal IR experiments

Limitations

• Requires canonical glyph compilation
• No text generation
• No decoding or execution

Weights

• vision_encoder
• temporal_head
• embed_dim
• canon_size
• gvlp_version = 1.2

Relationship to VIL

Author