---
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

1. Open this Space
2. Click "Start Training"
3. Monitor progress in logs
4. Model will be saved to `Desorden1337/d1337-cipher-v1`

## Hardware Requirements

- **Minimum**: 4x L40S (192GB VRAM)
- **Recommended**: 8x L40S or 4x A100

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*D1337 SOVEREIGN LABS - Building the future of AI security*