🎉 Gym Training Platform - Successfully Running!¶

Zoo Labs Foundation - AI Training Infrastructure¶

Copyright © 2025 Zoo Labs Foundation Inc.
Website: https://zoo.ngo
Platform: Gym by Zoo Labs Foundation

✅ Training Completed Successfully¶

📊 Training Summary¶

Model: facebook/opt-125m (125M parameters)
Method: LoRA fine-tuning
Dataset: alpaca_gpt4_en (50 samples)
Training Time: 15.98 seconds
Final Loss: 2.616
Device: Apple Silicon (MPS)

📈 Loss Progression¶

Step  5: Loss = 2.4302
Step 10: Loss = 2.6551
Step 15: Loss = 2.7138
Step 20: Loss = 2.5058
Step 25: Loss = 2.7738

💾 Output Files Generated¶

LoRA Adapter: saves/local-test/adapter_model.safetensors (5.3 MB)
Configuration: saves/local-test/adapter_config.json
Training Results: saves/local-test/train_results.json
Model Card: saves/local-test/README.md

🔧 LoRA Configuration¶

Rank: 8
Alpha: 16
Target Modules: out_proj, k_proj, v_proj, fc1, q_proj, fc2
Dropout: 0.1

🚀 What We've Implemented¶

1. GRPO (Group Relative Policy Optimization)¶

DeepSeek's algorithm with 40-60% memory reduction
Implementation in src/gym/train/grpo/
Configuration files in configs/grpo_*.yaml

2. GSPO (Group Sequence Policy Optimization)¶

Alibaba's Qwen3 optimization algorithm (arxiv:2507.18071)
Implementation in src/gym/train/gspo/
Qwen3-specific configurations for:
Qwen3-4B (Nano) - Our priority model
Qwen3-Coder - Code generation
Qwen3-Omni - Multimodal
Qwen3-Next - Advanced features
Qwen3-72B-MoE - Large-scale MoE

3. Complete Training Pipeline¶

CLI tool: gym-cli train <config>
Web API: FastAPI server
Workflow integration
Multi-GPU support
QLoRA optimization

🎯 Next Steps¶

To Run More Training:¶

# Train with different configurations
gym-cli train configs/gspo_qwen3_4b_nano.yaml
gym-cli train configs/grpo_qwen3.yaml

# Start the web interface
gym-cli webui

# Launch API server
gym-cli api

To Use Trained Models:¶

from transformers import AutoModelForCausalLM
from peft import PeftModel

# Load base model
model = AutoModelForCausalLM.from_pretrained("facebook/opt-125m")

# Load LoRA adapter
model = PeftModel.from_pretrained(model, "saves/local-test")

🦁 About Zoo Labs Foundation¶

Zoo Labs Foundation is a 501©(3) non-profit organization dedicated to advancing AI research and education. The Gym platform represents our commitment to democratizing AI training infrastructure.

Learn More: - Website: https://zoo.ngo - GitHub: https://github.com/zooai/gym - Documentation: https://docs.zoo.ai/gym

Training completed on September 25, 2025