fine-tuning

CLI for exporting Claude Code/Codex sessions to Hugging Face with privacy redaction, MCP memory, and share-ready dataset workflows.

Inference and finnetunning of a VLM (LLama Vision 11b) using the Unsloth, PEFT libraries and torch.

notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library

GPU orchestrator with vLLM sleep mode

Reward a Language Model with pancakes 🥞

Open-source framework for turning expert knowledge into PII-free synthetic conversational data and production-ready LoRA adapters.

Complete setup guide for a 2-node NVIDIA DGX Spark cluster — distributed training, CUDA inference with EXO, NCCL tuning for Grace Blackwell, NVMe-TCP shared storage, and 200 Gb/s direct fabric networking.

Taller: Modelos de lenguaje a tu medida. 2º Workshop Argentino de NLP, Córdoba 2023

Hotel-domain conversational assistant using Qwen2.5-7B-Instruct, focusing on practical, reproducible fine-tuning. It supports SFT + LoRA for a stable baseline, SFT + QLoRA for 7B model training with 4-bit quantization under limited GPU memory, and DPO to enhance responses via human preference pairs

Finetuning of Gemma-2 2B for structured output

[WACV 2026] The official implementation of the paper titled " End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards" accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026

Finetuning Google's Gemma Model for Translating Natural Language into SQL

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

The License Plate Recognition (LPR) System is a computer vision project designed to detect and recognize license plates in images or video streams.

Tracking exactly what happens to the internal "circuitry" (induction heads) of a 2-layer attention-only Transformer when forced to undergo domain adaptation from prose to structured Python code.

This repository contains a system for generating question-answer pairs for FINE-TUNING LLMs from the data you have.

Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"

Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub

An experiment with movie scenes and contrastive learning

Code associated with the blog post titled, "Fine-Tuning BGE Embeddings Using Synthetic Data from Amazon Bedrock"