Modelpublic

CodexCon-OS/Amethyst-Core

sourceHugging Facegemmaupdated 3mo agoView on Hugging Face

0likes112downloads

Model Card

🔮 XLPHY Amethyst (Gemma Series) for Project: XLPHY AI

XLPHY Amethyst is a suite of high-efficiency, local-first AI models optimized specifically for the Project: XLPHY AI ecosystem. These models are repackaged and quantized to provide a premium, low-latency, and multimodal experience for autonomous agents and sovereign AI applications.

Developer Note: These are optimized derivatives of the Google Gemma 3 series, rebranded and tuned for seamless integration within the Project: XLPHY AI autonomous agent architecture.

🧠 Model Selection

The Amethyst series is built for Project: XLPHY AI and is divided into four "Gemstone Tiers." Each tier is available in Q4_K_M, Q5_K_M, and Q6_K quantization levels.

File Name (Template)	Tier Identity	Base Engine	Primary Purpose	License	Available Quants
`amethyst-arc-1b-[quant].gguf`	arc	Gemma 3 1B IT	Ultra-fast local execution and IoT.	Gemma	`Q4_K_M`
`amethyst-beam-e2b-[quant].gguf`	Core	Gemma 4 E2B IT	Main driver with Vision support.	Apache 2.0	`Q4_K_M`, `Q6_K`, `Q8_0`

📦 Quantization Guide

—Q4_K_M (Low): Fastest and most memory-efficient. Ideal for mobile and entry-level hardware.
—Q5_K_M (Medium): The "sweet spot" for Amethyst, with minimal quality differences from the original model.
—Q6_K (High): Near-lossless performance for users who prioritize maximum accuracy.

🛠️ Implementation & Runtime

Designed for the Project: XLPHY AI "Offline-First" philosophy. Best executed via:

—XLPHY Desktop App (Native Integration)
—`llama.cpp` / `llama-cli`
—Any GGUF-compatible inference engine supporting Gemma 3 and Gemma 4

🔐 Checksums (SHA256)

To ensure file integrity during the XLPHY automated download process:

Tier	Q4_K_M	Q6_K	Q8_0	mmproj
Arc (1B)	`12bf0fff8815d5f73a3c9b586bd8fee8e7b248c935de70dec367679873d0f29d`	`X`	`X`	`X`
Beam (E2B)	`6c950d754366dd8b372fd17a40497ba5f130a46d833b4c5bccc9f6bb6382ce1e`	`5a352f63b59e1b37bac5071e3aed65e8954883a1625bf6676bf9aa2381295beb`	`6febf73c7c6b44c550ba857ceca3788262ce2272603ca16b1f2609556205dea3`	`b23366bec60eda708aa54816c8f72dfdfedd5c5ccbe4e7db500aa7724bd14b20`

⚖️ Attribution & Licensing

These files are redistributed/repackaged quantized derivatives of the Google Gemma family.

—Original Architecture: Developed by Google DeepMind
—Optimization: Repackaged by CodexCon Digital Solutions for Project: XLPHY AI
—Amethyst Arc (Gemma 3): Gemma Terms of Use
—Amethyst Beam (Gemma 4): Apache License 2.0

⚠️ Limitations & Safety

—Hallucinations: Like all LLMs, these models may produce incorrect information.
—Human-in-the-loop: Always validate technical outputs, especially for vision-based tasks or critical code.
—Non-Critical Use: Not intended for medical, legal, or other high-stakes safety-critical applications.

Developed by CodexCon | Lead Founder: Cid Cruz