aquif-neo

aquif-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: aquif-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

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Model size
64.1M params
Tensor type
F32
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