metadata
title: D1337 CIPHER Training
emoji: 🔥
colorFrom: red
colorTo: purple
sdk: docker
pinned: true
license: mit
app_port: 7860
D1337 CIPHER - Custom Training Environment
D1337 SOVEREIGN LABS
Custom QLoRA training environment for fine-tuning GLM-4.7-Flash-abliterated (31B) on cybersecurity datasets.
Features
- 🔥 QLoRA Training - Memory efficient training for 31B models
- 🎯 4x L40S Optimized - Configured for 192GB VRAM
- 📊 Gradio UI - Real-time monitoring and control
- 🚀 Auto Push to Hub - Automatically saves to HuggingFace
Configuration
| Parameter | Value |
|---|---|
| Base Model | huihui-ai/Huihui-GLM-4.7-Flash-abliterated |
| Dataset | Desorden1337/d1337-cipher-dataset |
| LoRA Rank | 64 |
| LoRA Alpha | 128 |
| Epochs | 5 |
| Learning Rate | 2e-4 |
| Max Seq Length | 4096 |
Training Topics
- SentinelOne EDR
- CrowdStrike Falcon
- Palo Alto Networks
- Zero-day Research
- AI/ML Security
- Adversarial Attacks
- Cloud Security
Usage
- Open this Space
- Click "Start Training"
- Monitor progress in logs
- Model will be saved to
Desorden1337/d1337-cipher-v1
Hardware Requirements
- Minimum: 4x L40S (192GB VRAM)
- Recommended: 8x L40S or 4x A100
D1337 SOVEREIGN LABS - Building the future of AI security