Gemma 3 QAT
Collection
Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory
•
15 items
•
Updated
•
191
Lukman Jibril Aliyu
lukmanaj
AI & ML interests
AI in healthcare | NLP | Computer Vision
Recent Activity
replied to
their
post
11 days ago
I’m excited to share that I’ve completed the Hugging Face Agents Course and earned my certificate.
Over the past few months, I explored how to build intelligent, autonomous agents using cutting-edge tools like smolagents, LlamaIndex, and LangGraph. The course covered everything from the fundamentals of agents to advanced topics like fine-tuning for function-calling, observability, evaluation, and even agents in games.
Some key content included:
1. Introduction to AI Agents
2. Agentic RAG use cases
3. Multi-framework implementation: smolagents, LlamaIndex, and LangGraph
4. Building, testing, and certifying a complete agent project
This was a hands-on, practical experience that deepened my understanding of how to design reliable, tool-using LLM agents. Looking forward to leveraging these skills in real-world applications in healthcare, logistics, and beyond.
Many thanks to the Hugging Face team for putting this together.
Let’s build safe and useful agents!
liked
a model
12 days ago
Qwen/Qwen3-235B-A22B
upvoted
a
collection
12 days ago
Gemma 3 QAT
Organizations
lukmanaj's activity
upvoted
a
collection
12 days ago
upvoted
an
article
24 days ago
Article
Cohere on Hugging Face Inference Providers 🔥
•
125
upvoted
3
articles
3 months ago
Article
Tool Use, Unified
•
105
Article
Welcome to Inference Providers on the Hub 🔥
•
477
Article
Introducing smolagents: simple agents that write actions in code.
•
1.02k
upvoted
a
paper
4 months ago
upvoted
a
paper
9 months ago
upvoted
a
paper
about 1 year ago