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rewintous/gemma-4-E4B-it-vindex
gemma-4-E4B-it-vindex is a machine learning model from rewintous. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
--- basemodel: google/gemma-4-E4B-it tags: - larql - vindex - gemma - knowledge-graph - no-gpu language: - en license: apache-2.0 ---
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Updated Apr 15, 2026
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18.6 GB
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.bin21.2 GB · 100%
From the Hugging Face model README
base_model: google/gemma-4-E4B-it tags:
Weights from google/gemma-4-E4B-it extracted into a vindex using LARQL — query transformer weights like a graph database. No GPU required.
| File | Description |
|---|---|
gate_vectors.bin | W_gate rows — KNN index |
embeddings.bin | W_embed matrix — token lookup |
down_meta.bin | Per-feature output metadata |
index.json | Config, layer bands, provenance |
tokenizer.json | Tokenizer |
relation_clusters.json | Discovered relation types |
feature_labels.json | Probe-confirmed labels |
| Level | Size (f16) | Capabilities |
|---|---|---|
| Browse (this repo) | ~3 GB | DESCRIBE, WALK, SELECT |
| Inference | ~6 GB | + INFER |
| All | ~10 GB | + COMPILE |
LARQL · LQL Spec · LQL Guide · Base Model
LARQL: Apache-2.0 · Model weights: Gemma Terms of Use