neo

neo is our first pretrained model, featuring 64.1 million parameters. Designed purely as an experiment, it currently does not yet offer coherent text and reasoning at all.

Model Overview

• Name: neo
• Parameters: 64.1 million
• Architecture: Dense
• Type: General-purpose LLM
• Hosted on: Hugging Face

Training Steps

step 500 | loss = 0.9147
step 1000 | loss = 0.7440
step 1500 | loss = 0.6791
step 2000 | loss = 0.6631
step 2500 | loss = 0.6439
step 3000 | loss = 0.6335
step 3500 | loss = 0.6176
step 4000 | loss = 0.5987
step 4500 | loss = 0.5979
step 5000 | loss = 0.6018
step 5500 | loss = 0.5767
step 6000 | loss = 0.5839
step 6500 | loss = 0.5754
step 7000 | loss = 0.5644
step 7500 | loss = 0.5640
step 8000 | loss = 0.5686