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eaguilar/
gaje-models

Name: gaje-models
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🧬 GAJE Helix — Official Sovereign Genomic Models

Official model repository for the GAJE (Genetic Adaptive Joint Embedding) semantic compression and genomic neural memory platform.

🌟 What is a `.gaje` Model?

A .gaje file (Format Version v2312) is an all-in-one sovereign binary container:

🚀 Zero-Copy Mmap: Directly projected into virtual memory by the OS kernel without loading passes.
📚 Embedded Native GTOK Tokenizer: Contains its own BPE vocabulary and merge rules, eliminating mismatch and external JSON tokenizers.
⚡ Quantized Genomic Weights: Native Q4_0 / Q2_0 tensor layout optimized for AVX-512, AVX2, NEON, and WASM SIMD128.
🏝️ Island Model Compatible: Natively supports .gmem episodic, documental, and conversational memory islands.

📦 Available Models

Model	Arch	Hidden / Layers	Format	Size	Description
`max.gaje`	Llama	256 / 8L	Q2_0 + GTOK	~99.5 MB	Flagship Organism: Ultra-fast, minimal memory, autonomous edge agent

🚀 Quick Start with `gaje-cli`

Install and run locally in single-binary Rust (Zero-Python runtime):

bash

# 1. Download the flagship model
gaje-cli pull max

# 2. Interactive Terminal Chat
gaje-cli chat --model models/born/max.gaje

# 3. Launch the Sovereign Web UI Server (Streaming SSE)
gaje-cli serve --model models/born/max.gaje --port 8080 --chat-only

🌐 Live Web Environments

Hugging Face Space: huggingface.co/spaces/eaguilar/gaje-helix-web
Vercel Production PWA: gaje-web-ui.vercel.app

📄 License

This repository and its models are distributed under the GNU Affero General Public License v3.0 (AGPL-3.0).

eaguilar/gaje-models