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LICENSE ADDED
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+ XLPHY Amethyst Core License Notice
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+
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+ This repository distributes quantized GGUF model artifacts derived from the
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+ Google Gemma family for Project: XLPHY AI. These models are released under
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+ dual licensing depending on the base model.
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+
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+ Model Artifact Terms
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+
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+ ### Gemma 3 Models (Amethyst Arc 1B)
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+
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+ Amethyst Arc models derived from Gemma 3 are subject to the Gemma Terms of Use.
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+ You may use, copy, modify, distribute, and deploy these artifacts only as
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+ permitted by those terms.
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+
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+ **Official Terms:** https://ai.google.dev/gemma/terms
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+ **Upstream Reference:** https://huggingface.co/google/gemma-3-1b-it
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+
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+ ### Gemma 4 Models (Amethyst Beam E2B)
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+
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+ Amethyst Beam models derived from Gemma 4 are released under the Apache License 2.0.
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+ You may use, copy, modify, distribute, and deploy these artifacts in accordance
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+ with the terms of the Apache License 2.0.
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+
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+ **Official Terms:** https://www.apache.org/licenses/LICENSE-2.0
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+ **Upstream Reference:** https://huggingface.co/google/gemma-4-e2b-it
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+
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+ No Additional Rights
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+
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+ Except where explicitly stated above, this repository does not grant rights
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+ beyond the respective licenses for each model artifact.
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+
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+ Attribution
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+
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+ Google, Gemma, and related marks are trademarks of Google LLC.
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+ No endorsement by Google DeepMind is implied.
NOTICE ADDED
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+ XLPHY Amethyst Core Model Distribution Notice
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+
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+ This distribution package contains rebranded and quantized GGUF model files:
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+
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+ Gemma 3 Models (Amethyst Arc):
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+ - amethyst-arc-1b-Q4_K_M.gguf
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+ - amethyst-arc-1b-Q5_K_M.gguf
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+ - amethyst-arc-1b-Q6_K.gguf
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+
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+ Gemma 4 Models (Amethyst Beam):
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+ - amethyst-beam-e2b-Q4_K_M.gguf
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+ - amethyst-beam-e2b-Q5_K_M.gguf
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+ - amethyst-beam-e2b-Q6_K.gguf
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+
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+ These files are derivative/packaged artifacts based on upstream Gemma models:
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+
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+ - google/gemma-3-1b-it (Licensed under Gemma Terms of Use)
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+ - google/gemma-4-e2b-it (Licensed under Apache License 2.0)
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+
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+ Upstream model provider: Google DeepMind.
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+
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+ Dual Licensing
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+
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+ This package distributes models under dual licensing:
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+ - Gemma 3 derivatives are redistributed under Gemma Terms of Use
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+ - Gemma 4 derivatives are redistributed under Apache License 2.0
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+
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+ See the LICENSE file in this directory for detailed license information:
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+ https://ai.google.dev/gemma/terms (Gemma Terms)
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+ https://www.apache.org/licenses/LICENSE-2.0 (Apache License 2.0)
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+
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+ Attribution and notices are provided here for transparency and compliance.
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+ This NOTICE file does not modify applicable license terms.
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+
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+ No endorsement by the upstream provider is implied.
README.md CHANGED
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- ---
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- license: gemma
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license:
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+ - gemma
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+ - apache-2.0
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+ language:
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+ - en
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+ base_model:
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+ - google/gemma-3-1b-it
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+ - google/gemma-4-e2b-it
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+ tags:
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+ - Gemma 3
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+ - gguf
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+ - quantized
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+ - vision
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+ - text-generation
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+ - edge-ai
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+ - local-first
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+ - xlphy
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+ - codexcon
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+ - 1b
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+ - 4b
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+ - 12b
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+ - 27b
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+ ---
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+
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+ # 🔮 XLPHY Amethyst (Gemma Series) for Project: XLPHY AI
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+
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+ 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.
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+
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+ > **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.
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+
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+ ## 🧠 Model Selection
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+
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+ 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.
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+
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+ | File Name (Template) | Tier Identity | Base Engine | Primary Purpose | License | Available Quants |
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+ | --- | --- | --- | --- | --- | --- |
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+ | `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` |
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+ | `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` |
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+
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+ ## 📦 Quantization Guide
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+
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+ - **Q4_K_M (Low):** Fastest and most memory-efficient. Ideal for mobile and entry-level hardware.
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+ - **Q5_K_M (Medium):** The "sweet spot" for Amethyst, with minimal quality differences from the original model.
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+ - **Q6_K (High):** Near-lossless performance for users who prioritize maximum accuracy.
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+
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+ ## 🛠️ Implementation & Runtime
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+
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+ Designed for the Project: XLPHY AI "Offline-First" philosophy. Best executed via:
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+
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+ - **XLPHY Desktop App** (Native Integration)
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+ - **`llama.cpp` / `llama-cli`**
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+ - Any GGUF-compatible inference engine supporting Gemma 3 and Gemma 4
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+
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+ ## 🔐 Checksums (SHA256)
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+
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+ To ensure file integrity during the XLPHY automated download process:
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+
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+ | Tier | Q4_K_M | Q5_K_M | Q6_K |
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+ | --- | --- | --- | --- |
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+ | Arc (1B) | `12bf0fff8815d5f73a3c9b586bd8fee8e7b248c935de70dec367679873d0f29d` | `59a10a3c8dc8a9c0bda2c8882198073b1cfebbb2b443aa2fc4cfca4f92eeb805` | `ccad0cb14e9008f699f4b820110b899cf81983a987c40a05a8a1128d2fb713fb` |
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+ | Beam (E2B) | `cded614c9b24be92e5a868d2ba38fb24e15dfea34fc650193c475a6debc233a7` | `43b6d9cfc1108e172b9ff99759ce7c2052bbed5dd7c4b4675ca63a04b6ed8dfc` | `b4c977371027c423ba6e36c7ca6e31e11803853224046f62d94a24a827e4f041` |
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+
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+ ## ⚖️ Attribution & Licensing
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+
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+ These files are redistributed/repackaged quantized derivatives of the Google Gemma family.
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+
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+ - **Original Architecture:** Developed by Google DeepMind
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+ - **Optimization:** Repackaged by CodexCon Digital Solutions for Project: XLPHY AI
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+ - **Amethyst Arc (Gemma 3):** Gemma Terms of Use
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+ - **Amethyst Beam (Gemma 4):** Apache License 2.0
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+
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+ ## ⚠️ Limitations & Safety
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+
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+ - **Hallucinations:** Like all LLMs, these models may produce incorrect information.
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+ - **Human-in-the-loop:** Always validate technical outputs, especially for vision-based tasks or critical code.
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+ - **Non-Critical Use:** Not intended for medical, legal, or other high-stakes safety-critical applications.
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+
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+ ---
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+
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+ Developed by **CodexCon** | Lead Founder: **Cid Cruz**