--- 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.