ATAVUS Robot Panel

Total Robots

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Deployed

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Provisioned

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Online (1h)

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Draft

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Retired

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Recent Robots

Robot ID	Name	Soul	Brain	Status	Actions

🤖 Identity

✨ Soul

🧠 Brain

⚙️ Hardware

🌐 Network

🔒 Security

Robot Name *

Description

Hardware Model

Serial Number

Soul Name (how the robot introduces itself)

Personality

Voice Model

Language

Wake Word

AI Model

API Endpoint (leave blank for Atavus default)

API Key (write-only — stored as hint only)

Temperature

Context Window

System Prompt (soul's core instruction)

CPU

RAM (GB)

Storage (GB)

Display Camera Microphone Speaker

Hostname

WiFi SSID

Cloud Sync Endpoint

Enable VPN Enable Cloud Sync

Enable Self-Destruct (Military)

When triggered, permanently destroys on-board storage. Only for classified deployments.

Enable Geofencing

Geofence Radius (meters)

🧬 ATAVUS Genesis-1 — Live · Port 8008 · 4.7GB Q4_K_M

ATAVUS Neural Core A1 | Runtime: atavus.cpp v1.0.0 | Fine-tuned for ATAVUS humanoid robotics

Ready

Model

ATAVUS Genesis-1

File

/data/models/genesis-1-gguf/genesis-1-q4_k_m.gguf

Size

4.7 GB (Q4_K_M quantized)

Runtime

atavus.cpp v1.0.0 → /usr/local/bin/atavus-server

API Port

11434 (OpenAI-compatible)

Context

128K tokens

Training Samples

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Adapter

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Why Genesis-1 beats 100-person knowledge: ATAVUS Neural Core A1 is trained on 119 languages, full scientific literature, code in 50+ languages, math olympiad problems, and legal/medical reasoning — more breadth than any single-domain expert team.

🏋️ Fine-Tune

📦 Create Update

📊 Dataset

📋 Job Status

Training Epochs

1 epoch ≈ 45min CPU. 3 epochs recommended for first run.

Add Custom Training Sample (optional)

What happens when you train:

1. Loads ATAVUS Neural Core A1 base weights
2. Applies QLoRA (rank 16) — only 0.1% of weights updated
3. Fine-tunes on your dataset (26+ robot soul dialogues)
4. Saves LoRA adapter to /data/models/genesis-1/adapter/
5. Push adapter via OTA to all robots

⏱️ Est. time: ~2-4 hours on AMD EPYC CPU (no GPU).
Server will remain functional during training.