Upgrade to Vivy-V-Robotics-Micro-Edge (Vivy-V Optimized Thinking Core): Open-source weights + encrypted .vcore architecture & archive legacy Vivy.v6
a62d24d verified | license: apache-2.0 | |
| library_name: gguf | |
| base_model: Qwen/Qwen2.5-3B-Instruct | |
| language: | |
| - en | |
| tags: | |
| - vivy-v | |
| - upgraded-thinking-core | |
| - open-weights | |
| - gguf | |
| - safetensors | |
| # Vivy-V-Robotics-Micro-Edge — Vivy-V Upgraded Generation (Optimized Thinking Core) | |
| - **Model Family:** `Vivy-V` | |
| - **Model ID:** `Vivy-V-Robotics-Micro-Edge` | |
| - **Domain Focus:** Embedded Constrained-Hardware Control Thinking Core | |
| - **Development Status:** `ACTIVE_EMBEDDED_EDGE` | |
| - **Parameter Class:** 0.50B Embedded + Vivy-V Micro Core | |
| - **Release Policy:** **Open-Source Model Weights (`Apache-2.0`)** + **Encrypted Proprietary `Vivy-V` Architecture (`.vcore`)** | |
| - **Legacy Lineage Stamp:** Replaces `Vivy-R-Robotics-Micro-Edge (v7.4)` (`[ARCHIVED_LEGACY_VIVY_V6]`) | |
| --- | |
| ## Overview | |
| **`Vivy-V-Robotics-Micro-Edge`** is the upgraded **`Vivy-V`** generation release featuring an **optimized thinking core** for faster decision-making, lower runtime memory overhead, and higher response consistency. | |
| All legacy **`Vivy.v6`** releases (`Vivy-R-Robotics-Micro-Edge (v7.4)`) have been officially archived and stamped as legacy versions (`[ARCHIVED_LEGACY_VIVY_V6]`). | |
| --- | |
| ## Model Files & Packaging Structure | |
| In accordance with the `Vivy-V` release policy, **model weights are open-source** while the **internal `Vivy-V` thinking-core architecture is cryptographically encapsulated**: | |
| | File | Role | Open-Source / Encrypted | Format | | |
| |---|---|---|---| | |
| | `vivy-v-robotics-micro-edge-q4_k_m.gguf` | Complete full-weight quantized backbone (`Q4_K_M`) | **Open-Source Weights (`Apache-2.0`)** | `GGUF v3` | | |
| | `vivy-v-robotics-micro-edge_weights.safetensors` | Complete `Vivy-V` fine-tuned weight tensors (`weights.layer_*`, SHA-256: `54cf10ee2f1a2e8a...`) | **Open-Source Weights (`Apache-2.0`)** | `.safetensors` | | |
| | `vivy-v-robotics-micro-edge_arch.vcore` | Encrypted `Vivy-V` thinking-core architecture & routing topology (SHA-256: `b6e8ad5a1665a869...`) | **Encrypted Architecture (`VIVY_V_ARCH_ENC_V1`)** | `.vcore` (`VCORE3`) | | |
| | `Modelfile` / `Modelfile.vivy-v` | Complete model definition linking full weights and adapter tensors | **Open-Source Configuration** | `Modelfile` | | |
| --- | |
| ## Quick Start | |
| ### 1. Run with `llama.cpp` or `Ollama` (`Modelfile`) | |
| ```bash | |
| # Build model from the complete Modelfile | |
| ollama create vivy-v-robotics-micro-edge:vivy-v -f Modelfile | |
| # Run interactive inference | |
| ollama run vivy-v-robotics-micro-edge:vivy-v | |
| ``` | |
| ### 2. Direct `llama-server` Execution | |
| ```bash | |
| llama-server -m ./vivy-v-robotics-micro-edge-q4_k_m.gguf --port 8080 -c 8192 | |
| ``` | |
| --- | |
| ## Version History & Legacy Archive Notice | |
| - **`Vivy-V` (`Current Active Release`):** Upgraded generation featuring an optimized thinking core, full open-source weights (`.gguf` + `.safetensors` + `Modelfile`), and encrypted `Vivy-V` architecture (`.vcore`). | |
| - **`Vivy.v6` (`[ARCHIVED_LEGACY_VIVY_V6]`):** All prior `Vivy.v6` / `R`-Series versions (`v6.0` – `v7.4`) are archived as historical legacy releases. | |