Release vil-encoder-v1.2 (GVL-P v1.2, canon-locked)

README.md

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+---
+license: mit
+tags:
+- vision
+- encoder
+- multimodal
+- self-supervised
+- video
+- execution
+- symbolic
+library_name: pytorch
+pipeline_tag: feature-extraction
+datasets:
+- Nine1Eight/vil-canonical-glyph-system
+---
+
+# VIL Encoder v1.2 (GVL-P)
+
+**VIL Encoder v1.2** is a glyphmatic vision encoder trained using  
+**GVL-P (Glyphmatic Video-Language Pretraining) v1.2**.
+
+This model learns **temporal execution structure** from canonical glyph
+sequences derived from text, code, binaries, and other data.
+
+> ⚠️ 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)
+
+Training is **fully self-supervised**:
+
+1. Arbitrary input (text, code, binary)
+2. Deterministic compilation → glyph indices
+3. Sliding temporal windows
+4. Next-step temporal consistency objective
+
+No labels, captions, or annotations were used.
+
+---
+
+## Intended Use
+
+- Execution-aware embeddings
+- Vision–language research
+- Glyph-based reasoning systems
+- Multimodal IR experiments
+
+This is **not** a language model.
+
+---
+
+## Limitations
+
+- Requires canonical glyph compilation
+- No text generation
+- No decoding or execution
+
+---
+
+## Weights
+
+File:
+vil-encoder-v1.2.pt
+Checkpoint contains:
+- `vision_encoder`
+- `temporal_head`
+- `embed_dim`
+- `canon_size`
+- `gvlp_version = 1.2`
+
+---
+
+## Relationship to VIL
+
+Canonical dataset:
+https://huggingface.co/datasets/Nine1Eight/vil-canonical-glyph-system
+
+---
+
+## Author
+
+Matthew Blake Ward (Nine1Eight)  
+Tulsa, Oklahoma, USA

config.json

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+{
+  "model_type": "vil-glyph-encoder",
+  "embed_dim": 768,
+  "canon_size": 111,
+  "gvlp_version": "1.2",
+  "deterministic": true
+}

vil-encoder-v1.2.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a3cacca9c36226f6f2de305d7a6b06e50f499123ec86dfeb5ac4fc70876463c3
+size 113431045