Hugging Face
Models
Datasets
Spaces
Community
Docs
Enterprise
Pricing
Log In
Sign Up
9
22
41
Samuel Lima Braz
PRO
samuellimabraz
Follow
krishi2006's profile picture
mksabzi's profile picture
cinzunzas's profile picture
43 followers
·
34 following
https://samuellimabraz.github.io/
samuellimabraz
samuel-lima-braz
AI & ML interests
None yet
Recent Activity
posted
an
update
about 18 hours ago
Quantum Assistant: Multimodal VLMs for Quantum Computing I've open-sourced my undergraduate thesis work on specializing vision-language models for quantum computing with Qiskit. Existing quantum code assistants (like IBM's Qiskit Code Assistant https://huggingface.co/Qiskit ) only process text, ignoring visual representations—circuit diagrams, Bloch spheres, histograms What I built: - A synthetic data generation pipeline that extracts content from Qiskit documentation, papers, codes transcribes images via VLM, generates validate input and output pairs, and validates all code through automated unit tests - The first public multimodal dataset for quantum computing: 8,366 samples (45% with images) across function completion, code generation, and Q&A tasks - Fine-tuned Qwen3-VL-8B using LoRA (rsLoRA r=32), achieving +11pp on Qiskit HumanEval (32.45% → 43.71%) and +17.9pp on multimodal samples vs text-only - Interactive demo with chat interface and code challenges Results: The model achieves 63.39% Pass@1 on visual samples—it learned to extract circuit topology from diagrams and infer parameters from visual annotations. Everything is Apache 2.0: - Dataset: https://huggingface.co/datasets/samuellimabraz/quantum-assistant - Models: https://huggingface.co/collections/samuellimabraz/quantum-assistant - Code & Pipeline: https://github.com/samuellimabraz/quantum-assistant - Demo: https://huggingface.co/spaces/samuellimabraz/quantum-assistant The synthetic pipeline is modular and can be adapted for other technical domains. This work was inspired by the Qiskit team's work on code generation ([arXiv:2405.19495](https://arxiv.org/abs/2405.19495)) by @cbjuan @ndupuis Built with ms-swift, transformers, vLLM, PEFT, and Qiskit. grateful for the open-source ecosystem that makes projects like this possible.
liked
a Space
about 1 month ago
samuellimabraz/quantum-assistant
updated
a Space
about 1 month ago
samuellimabraz/quantum-assistant
View all activity
Organizations
samuellimabraz
's activity
All
Models
Datasets
Spaces
Papers
Collections
Community
Posts
Upvotes
Likes
Articles
published
an
article
11 months ago
view article
Article
Open-Source Handwritten Signature Detection Model
Mar 14, 2025
•
120
published
an
article
about 1 year ago
view article
Article
PEFT: Parameter-Efficient Fine-Tuning Methods for LLMs
Jan 24, 2025
•
54
Load more