| --- |
| license: |
| - gemma |
| - apache-2.0 |
| language: |
| - en |
| base_model: |
| - google/gemma-3-1b-it |
| - google/gemma-4-e2b-it |
| tags: |
| - Gemma 3 |
| - gguf |
| - quantized |
| - vision |
| - text-generation |
| - edge-ai |
| - local-first |
| - xlphy |
| - codexcon |
| - 1b |
| - 4b |
| - 12b |
| - 27b |
| --- |
| |
| # 🔮 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`, `Q5_K_M`, `Q6_K` | |
| | `amethyst-beam-e2b-[quant].gguf` | Core | Gemma 4 E2B IT | Main driver with Vision support. | Apache 2.0 | `Q4_K_M`, `Q5_K_M`, `Q6_K` | |
|
|
| ## 📦 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 | Q5_K_M | Q6_K | |
| | --- | --- | --- | --- | |
| | Arc (1B) | `12bf0fff8815d5f73a3c9b586bd8fee8e7b248c935de70dec367679873d0f29d` | `59a10a3c8dc8a9c0bda2c8882198073b1cfebbb2b443aa2fc4cfca4f92eeb805` | `ccad0cb14e9008f699f4b820110b899cf81983a987c40a05a8a1128d2fb713fb` | |
| | Beam (E2B) | `cded614c9b24be92e5a868d2ba38fb24e15dfea34fc650193c475a6debc233a7` | `43b6d9cfc1108e172b9ff99759ce7c2052bbed5dd7c4b4675ca63a04b6ed8dfc` | `b4c977371027c423ba6e36c7ca6e31e11803853224046f62d94a24a827e4f041` | |
| |
| ## ⚖️ 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** |
|
|
