Local Language Model

LLM: The Smallest Language Model in the World Overview The LLM is a cutting-edge language model with only 3,560 parameters , making it the smallest of its kind. Designed to run directly on your device, it offers: Faster Response Times : Experience near-instantaneous interactions. Enhanced Privacy : Data stays on your device (unless online mode is on) Offline Operation : No need for internet access. Model Development This model was crafted to explore the potential of language models with minimal parameters. It was trained on a variety of simple language data and a classic Shakespearean play to test its linguistic capabilities at this scale. Performance Metrics Speed Version Description Speed Rating v.7.5 Major speed improvements ⬜️⬜️⬜️⬜️ V.6 Improved output and speed ⬜️⬜️⬜️ V.5.1 Optimized v.5 ⬜️⬜️⬜️ V.5 Speed was reduced due to parameter size increase ⬜️ V.4 No changes to speed here. ⬜️⬜️ V.3 Speed improvements. ⬜️⬜️ V.1 Fast responses, bad output. ⬜️⬜️⬜️ Quality of Response Version Quality Rating V.7.5 🟩🟩🟩🟧 V.6 🟩🟩🟧 V.5 🟩🟧🟥 V.4 🟩🟨🟥 V.3 🟩🟨 V.1 🟩🟥 Rating Legend: 🟩 Good 🟧 Almost good 🟨 Satisfactory 🟥 Needs Improvement Key Features Parameter Count : 3,560 Training Data : Simple language datasets, Shakespearean text Deployment : Local device operation for privacy and speed Documentation For more information, visit these relevant posts by ® and OpenAI®: Blog Training language models to follow instructions with human feedback Planning for AGI and beyond