Hypernova-60B
A compressed language model for agentic workflows and tool use.
My contribution Contributed to model development, optimized inference and distillation pipelines, and built synthetic training-data pipelines.
Open models, research software, and personal projects, with my contribution to each model.
A compressed language model for agentic workflows and tool use.
My contribution Contributed to model development, optimized inference and distillation pipelines, and built synthetic training-data pipelines.
An open image-generation model with a focus on aesthetics and photorealism.
My contribution Contributed to model development at Krea and optimized image and video fine-tuning pipelines with distributed training, including FSDP2.
A language model that follows annotation guidelines to extract information from text.
My contribution Co-developed GoLLIE as part of my research on language models and information extraction at HiTZ.
Instruction-tuned language models for Basque, evaluated on language understanding and generation.
My contribution Trained Latxa on the Leonardo supercomputer, using up to 512 GPUs across 128 nodes.
An open multilingual text-to-text language model for the medical domain.
My contribution Contributed to model development and co-authored the MedicalMT5 paper as first author.
An AI agent framework for real-time fact-checking.
My contribution Building the agent framework and its online demo.
A deep learning project that uses Diffusion Transformers (DiT) to generate Grand Theft Auto V driving footage.
LLM finetuning and evaluation library for the NoticIA dataset of 850 Spanish news with human-written summaries.
AI that generates one-sentence summaries of clickbait news articles. Trained on 8×A100; deployed with vLLM and Ray.
Sequence labelling with LLMs via Text2Text constrained generation, built on Transformers + Accelerate.
High-quality annotation projection for sequence labeling datasets, built on Transformers + Accelerate.
Manually curated database of contamination evidence for language models.
Candidate generation + knowledge-base linking + fine-grained classification using retrieved knowledge.
Translate large text files with a single command. Easy for beginners, customizable for power users.
Project labels across datasets using mGiza, FastAlign, SimAlign or AWESOME to generate resources for low-resource languages.
Monolingual and cross-lingual meta-embedding generation and evaluation framework.
Supervised deep network that learns to drive in GTA V from human-labelled data.