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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.
|