🤖 Ayestaran Development Studio - LLM Training Dashboard

Manage Training Workflow, 3D Visualizations, Ollama Integration and Model Artifact Clean Up
Architecture, Design and Development by Franz Ayestaran / Enhanced Pair Programming with Claude Code

Loading workflow documentation...

🚀 Train Your Model

📂 Upload Training Data

Upload a .txt file containing your training data. Each line should be a training example.

âš™ī¸ Training Configuration

âš ī¸ Please upload a training data file first

đŸ’ģ System Status

âš™ī¸

CPU

0 cores
Usage 0%
0 MHz
🧠

Memory (RAM)

0 GB total
Used 0%
0 GB / 0 GB available
🎮

GPU

Checking...
No GPU detected or PyTorch not installed
đŸ–Ĩī¸

Device Information

Platform: -
Architecture: -
Processor: -
Python: -
📊

Utilization Details

CPU Cores
Disk I/O
📖 Read
0 MB
âœī¸ Write
0 MB
Network I/O
📤 Sent
0 MB
đŸ“Ĩ Received
0 MB
Last updated: Never â€ĸ Updates every 2 seconds

🤖 Chat with Your Model

đŸ’Ŧ Generate Text

Higher values = longer responses (50-2000 tokens)

đŸĻ™ Import Model to Ollama

đŸ“Ļ Import GGUF Model

â„šī¸ About: This will import your trained model into Ollama, allowing you to run it locally using the ollama run command.

âš ī¸ No GGUF file? If you don't see any GGUF files below, you need to convert your trained model first.

This will be the name you use with ollama run <name>
Controls randomness (0.0 = deterministic, 1.0+ = creative)

📊 Training Artifacts

Loading artifacts...

📊 3D Model Visualizations

Interactive 3D visualizations of your model's training process, checkpoints, embeddings, and layer structures.

Checking for visualizations...