File size: 3,383 Bytes
c5466c7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | ---
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**
|