Quazim0t0/flightdeck-traces
Updated • 85
Dean Byrne PRO
Quazim0t0
AI & ML interests
Joined HuggingFace: 1-20-2025 / DaisyChainAI🌼 / SmallLM's / San Francisco
Recent Activity
reacted to Kurapika993's post with 👀 about 2 hours ago
🚀 Released two Responsible AI lightweight instruction-tuned models focused on toxicity, bias, and safety analysis
Model 1: Responsible AI Safety Assistant (Qwen 2.5)
https://huggingface.co/Kurapika993/qwen2.5-7b-responsible-ai-qlora
Base Model: Qwen2.5-7B-Instruct
Method: QLoRA
Training Data: BeaverTails + Wiki Toxic + custom Responsible AI instruction dataset
Model 2: Responsible AI Assistant (Llama)
https://huggingface.co/Kurapika993/llama-3.1-8b-responsible-ai-safety-lora/settings
Base Model: Llama-3.1-8b Instruct
Method: QLoRA
Training Data: BeaverTails + Wiki Toxic + custom curated examples
This model follows the same structured output format but explores the impact of a different base architecture on safety-analysis tasks.
Intended Use
These models are designed for:
✅ Responsible AI research
✅ Moderation decisions
✅ Safety and bias analysis
✅ Human-in-the-loop moderation workflows
✅ Dataset generation and annotation assistance reacted to marinarosa's post with 🔥 about 2 hours ago
I'm participating in the Build Small Hackathon! 💖
I chose the Backyard AI chapter: solve a real problem for someone you know.
My idea is to help a business owner extract valuable information from their data. She operates, negotiates and provides support for customers all through Whatsapp. She doesn't use Notion, Obsidian, Spreadsheets and does not like doing repetitive data-entry tasks. It's a messy, chaotic messaging workflow that kind of works for her now.
What if she could open a Space, upload her exported WhatsApp data, and a fine-tuned model tailored to her business domain and conversation style extracted, classified, organized all her customers and deals into a coherent dashboard, along with a chatbot for her to ask questions about her business? That's my current approach.Organizations
