Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
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Updated
Feb 18, 2026 - TypeScript
Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
onenm_local_llm is a Flutter plugin that simplifies on-device language model inference on Android using llama.cpp. It removes the complexity of setting up native runtimes, model loading, and inference pipelines, so developers can integrate local AI into their apps through a simple API.
A text-to-audio application that turns words and sentiments into melodies.
A project for fine-tuning large language models (LLMs) on curated Wikipedia datasets, featuring data preprocessing, model training with Phi-2, and evaluation using Python and Jupyter notebooks.
Fine-tuning Phi-2 with LoRA for grid-based spatial reasoning and Chain-of-Thought (CoT) inference.
Offline AI-powered Linux assistant using a fine-tuned Phi-2 model with Ollama, enabling natural language interaction and command suggestions directly in the terminal.
Use of phi2 for custom use.
A QLoRa approach to teach Persian reasoning to Phi2-microsoft
Using the Group News 20 dataset, this project employs the microsoft/phi1.5 model for text classification via prompting. We redefine classification as label generation, evaluating results with standard metrics and uploading the model on HuggingFace
Fine-tuning Microsoft’s Phi-2 model using QLoRA on the Alpaca-cleaned dataset with 4-bit quantization (bitsandbytes).
End-to-end healthcare LLM system using Phi-2 + QLoRA (4-bit quantization) with FastAPI inference API.
Projekt u sklopu predmeta Obrada prirodnog jezika
🧬 A Study & Web Application Exploring the Capabilities of LLMs in Cross-Language Code Translation
An intelligent hologram-based AI assistant for retail, developed as a Final Year Project to deliver interactive customer engagement and smart product guidance.
LLM Prompt Recovery
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